AI Product Manager
Pleasanton, California, United States
REDICA Systems
Redica Systems provides Quality and Regulatory Intelligence to life sciences professionals. Request a demo today.Company Description
Redica Systems is a data analytics start-up serving over 200 customers in the life sciences sector, with a particular focus on Pharmaceuticals and MedTech. Our team is distributed globally, with headquarters in Pleasanton, CA.
Redica’s platform empowers companies to enhance product quality and stay ahead of evolving regulations. Using proprietary processes, we leverage one of the industry’s most comprehensive datasets, sourced from hundreds of health agencies and FOIA records.
Our customers use Redica Systems to more effectively and efficiently manage their inspection preparation, monitor their supplier quality, and perform regulatory surveillance.
More information is available at redica.com.
Job Description
Redica provides AI-driven data products to our 200 life science customers. We’re seeking a forward-thinking and results-driven AI Product Manager to join our Product team. In this pivotal role, you will lead the strategy and development of key AI product families that define Redica’s market leadership and future success in artificial intelligence and machine learning.
You will work at the intersection of AI technologies, data science, technology, and business, shaping the future of our AI offerings and ensuring their scalability, usability, and alignment with customer needs. This role offers the opportunity to influence executive-level decisions, champion, and work with the latest in AI innovation, and deliver solutions that make a measurable difference for our customers and the organization.
Key Responsibilities
- Define and own the long-term vision, strategy, and roadmap for how AI will be integrated into multiple product families, ensuring alignment with overall company goals and objectives.
- Collaborate with Data Scientists, Machine Learning Engineers, and Subject-Matter Experts to design, build, and scale impactful AI solutions that address complex customer challenges and workflows.
- Act as a thought leader and subject matter expert in artificial intelligence, driving innovation and influencing product strategy across product lines.
- Identify and prioritize market opportunities, customer needs, and competitive insights to guide the development of AI in high-impact products and features.
- Serve as a trusted partner to cross-functional leaders, facilitating collaboration across product, engineering, design, sales, marketing, and customer success teams to achieve business outcomes.
- Provide technical and strategic guidance on leveraging AI in development solutions, ensuring delivery of exceptional solutions to complex customer problems.
- Mentor and develop senior product leaders, fostering a culture of ownership, growth, and excellence across the product and engineering organization.
- Represent the company externally as a product expert, engaging with customers, partners, and industry stakeholders to build trust and advocate for the product vision.
- Champion a data-driven approach to decision-making, balancing qualitative and quantitative insights with strategic judgment to drive outcomes.
About You
- AI Expertise: Strong knowledge of artificial intelligence and machine learning technologies, frameworks, and applications. Proven ability to translate AI concepts into actionable and impactful products.
- Technical Leadership: Offers strategic technology leadership in AI, shaping long-term strategies, driving innovation, and ensuring successful implementation of AI solutions.
- Business Insight: Provides business leadership by shaping product strategies that align with the organization's overall goals, driving innovation to meet market demands, and achieving sustainable success through alignment with long-term business objectives.
- Technical Proficiency: Strong technical acumen, with the ability to collaborate effectively with data teams and understand advanced data architectures, pipelines, and technologies.
- Decision Quality: Exemplary role model consistently making outstanding and timely decisions that set a high standard for the team. Effortlessly balances speed, quality, and strategic impact, inspiring and guiding others in the organization with exceptional decision-making skills.
- Balances Stakeholders: Provides strategic leadership by considering the long-term impact of decisions on stakeholders and the organization. Shapes organizational direction by aligning stakeholder needs with overarching goals, demonstrating a deep understanding of stakeholder dynamics in making good and timely decisions.
- Engaged: You share our values and possess the essential competencies needed to thrive at Redica, as outlined here: https://redica.com/about-us/careers.
Qualifications
- 8+ years of experience in Product Management, including at least 5 years leading the development of AI/ML-driven products in a B2B SaaS environment.
- Proven track record of delivering AI-powered solutions, collaborating with Data Scientists, Machine Learning Engineers, and AI researchers to create scalable, impactful products.
- Proficiency in AI/ML frameworks and technologies, such as TensorFlow, PyTorch, scikit-learn, or similar, and familiarity with AI model deployment in SaaS environments.
- Proficiency with data visualization and business intelligence tools (e.g., Tableau, PowerBI) and familiarity with data pipelines, advanced data structures, SaaS architecture, and AI/ML technologies.
- Strong understanding of SDLC and Agile methodologies, with demonstrated success in leading cross-functional teams in mature product organizations.
- Bachelor’s degree in Business, Computer Science, Computer Engineering, or a related field; advanced degrees (e.g., MBA or equivalent) are a plus.
Additional Information
Top Pharmaceutical Companies, Food Manufacturers, MedTech Companies, and Service Firms from around the globe rely on Redica Systems to mine and process government inspection, enforcement, and registration data. This enables them to quantify risk signals from their suppliers, identify market opportunities, benchmark against peers, and prepare for the latest inspection trends.
Our data and analytics have been cited by major media outlets such as MSNBC, The Wall Street Journal (WSJ), and The Boston Globe.
All your information will be kept confidential in accordance with EEO guidelines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Business Intelligence Computer Science Data Analytics Data pipelines Data visualization Engineering Machine Learning Model deployment Pharma Pipelines Power BI PyTorch Scikit-learn SDLC Tableau TensorFlow
Perks/benefits: Career development Startup environment
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