Head of Data Science/ML - AQMed

About the Role:
Join AQMed to revolutionize heart health using AI and advanced sensing for next-gen medical diagnostics. You will lead our Data Science/ Machine Learning (DS/ML) team and deliver impactful data products to benefit patients and physicians worldwide. In close collaboration with Product and Engineering, you will be responsible for designing and building data products that provide actionable and useful insights that are derived from our proprietary hardware & data. You excel in user-centricity, project execution, and you drive the development and delivery of data products that solve real-world user problems. You are excited by shipping functional, useful, and market-driven products and iterating them in the real world. The success indicators for this role include product adoption, user satisfaction, regulatory & quality success, time-to-market, and business impact.

What You’ll Do:

• As one of the AQMed leads, you’ll work closely with Product & Engineering to define the vision, strategy, and roadmap for data products that align with business objectives, incorporating ML capabilities where valuable. Curiosity & partnership are critical: you will be working alongside other leads to optimize the entire signal processing chain, from sensors to final data output.    
• Collaborate with AQMed leads to periodically and relentlessly prioritize our work to achieve BU-level goals using an OKR framework.
• Exemplify user-centricity by working closely with our clinical partners. Through rapid prototyping and iterative development, turn clinical insights, user needs, and business goals into clear product requirements and design specifications. Prioritize features by balancing business impact, user feedback, and technical feasibility to drive meaningful outcomes.
• Establish & track progress of DS/ML team-level OKRs, oversee timelines and budgets, and drive the end-to-end lifecycle of data products to ensure successful delivery and impact. Ensure the scalability, usability, and impact of ML models in production environments.
• Skillfully balance the need to execute quickly with the need to uphold a high standard in research. Keep abreast of the cutting-edge techniques that align with product requirements.    
• Be a confident representative of AQMed internally within SandboxAQ and externally (for example, with clinicians, development partners, regulators, industry partners, etc). Identify opportunities (e.g. conference presentations & proceedings, peer-reviewed journals) to elevate our team members & showcase our team’s capabilities.
• Lead & mentor a multidisciplinary team of data scientists and ML engineers. Foster a collaborative and innovative work environment, driving professional growth and excellence.

• 10+ years in engineering and product leadership roles: You have served as an individual contributor in an engineering role. You have been an engineering manager. You excel as a leader at the intersection of Product Development & AI/ML.   
• Advanced degree in engineering, computer science, AI, mathematics, or related field.
• Strong experience in AI-enabled data/ software medical product development from concept development (stage 0-3) through commercialization (stage 4+) 
• You effectively communicate at the executive level, ensuring decisions are clearly linked to business objectives and routed to appropriate stakeholders for efficient action.
• Action-oriented: you proactively create solutions, knowing that a delay in our product launch means a delay in impacting patient care.
• You are willing and able to work from our Palo Alto location 50% of the time (hybrid). 

• Cardiovascular device/cardiology experience and familiarity/expertise in the electrophysiology of the heart.

The US base salary range for this full-time position is expected to be $204k-$286k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.