Head of Product Engineering

JOB DESCRIPTION:

THE OPPORTUNITY
At Lingo were building a groundbreaking health platform that combines continuous biosensor data real-time analytics and personalized insights to help people live fuller longer and healthier lives. Our systems ingest millions of sensor readings daily powering experiences for consumers and partners worldwide with the reliability and scalability of cloud-native enterprise-grade platforms.

We are seeking an experienced and strategic Head of Product Engineering who can set the technical direction and roll up their sleeves to solve hard engineering problems. This is a hands-on leadership role for a builder someone who has personally architected and delivered large-scale SaaS systems brings deep system design instincts has meaningful experience engineering AI-powered products and knows how to grow and galvanize engineering teams to ship great products in a regulated fast-moving environment.

What Youll Work On

• Serve as the principal engineering leader and hands-on architect for product-facing teams translating product roadmaps and business objectives into a prioritized executable engineering strategy
• Actively participate in system design reviews architecture decisions and critical technical problem-solving not just as a reviewer but as a contributor
• Define and own the SaaS architecture strategy for Lingos consumer platform including multi-tenancy models API design service decomposition data pipelines and platform scalability
• Drive the architecture and engineering execution of AI-powered product features including personalized health insights predictive analytics LLM-based conversational experiences and on-device ML inference from biosensor data
• Establish engineering standards for AI system design including model integration patterns RAG pipelines prompt engineering practices evaluation frameworks and responsible AI guardrails appropriate for a regulated health context
• Build lead and scale a Product Engineering organization including Frontend Engineers Backend Engineers Mobile Engineers Full-Stack Engineers and AI/ML Engineers across multiple product squads
• Lead engineering effectiveness initiatives across the Product Engineering function including team topology design capability assessments and engineering culture health
• Identify technical debt architectural risks and organizational blockers to product delivery velocity and drive sustainable interventions to resolve them
• Own and continually improve engineering hiring onboarding and career development processes for the Product Engineering organization
• Champion engineering best practices like test-driven development continuous delivery API-first design and design-for-reliability to optimize end-to-end product value streams
• Standardize tools development processes and engineering practices across product squads to improve alignment and delivery consistency
• Partner with Product Management Data Science and Design on roadmap prioritization resource allocation and capacity forecasting across product initiatives
• Define manage and report on engineering OKRs KPIs and delivery metrics; present progress and insights to senior stakeholders
• Ensure product engineering investments and AI systems maintain ongoing alignment with regulatory requirements including HIPAA GDPR and FDA software guidance in close partnership with Legal and Compliance
• Own release cadence feature delivery readiness and global deployment coordination with Platform Engineering and Product teams

Required Qualifications

• Bachelors degree in engineering computer science or a related field or equivalent practical experience.
• 18 years of progressive experience in software engineering with a strong foundation as an individual contributor before moving into leadership you have written production code and designed systems at scale
• Proven hands-on experience architecting and building large-scale SaaS platforms including multi-tenant architectures event-driven systems RESTful and GraphQL APIs and cloud-native infrastructure (AWS GCP or Azure)
• Deep system design expertise you can whiteboard and lead design of distributed systems data models caching strategies and real-time data pipelines from first principles
• Meaningful hands-on experience engineering AI-powered products including integrating LLMs into production systems building RAG or agentic pipelines and applying ML models within user-facing applications
• Strong understanding of AI/ML system design considerations: model serving infrastructure latency and cost trade-offs evaluation and observability data feedback loops and safety constraints in sensitive domains
• Demonstrated success building and scaling high-performing product engineering organizations with direct ownership of consumer-facing products at significant scale
• Deep expertise in engineering organizational design squad/tribe models and building high-output teams across web mobile backend and AI/ML disciplines
• Proven ability to drive multi-year product engineering roadmaps in regulated fast-paced environments with demanding reliability and safety requirements
• Exceptional executive communication skills including the ability to translate engineering and AI complexity into clear product and business narratives for C-suite and board audiences
• A track record of building and maturing engineering governance frameworks delivery planning processes and performance management systems across product engineering organizations

Preferred Qualifications

• Background in digital health consumer health technology or other highly regulated industries (e.g. HIPAA GDPR FDA oversight)
• Experience applying AI/ML in health or wellness contexts including personalization engines anomaly detection on sensor data or clinically informed recommendation systems
• Experience in high-growth scale-up or venture-backed environments with exposure to rapid product and organizational scaling
• Hands-on experience with IoT or biosensor data ingestion pipelines real-time analytics or wearable device platforms
• Experience with IEC 62304based software development processes for medical device software
• Strong experience defining OKRs KPIs and capacity planning for high-throughput consumer-facing platforms with high-availability requirements

Learn more about our health and wellness benefits which provide the security to help you and your family live full lives:

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer committed to employee diversity.

The base pay for this position is

In specific locations the pay range may vary from the range posted.

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