Director Product Management, AI Products
GE HealthcareSalary not specified
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries
Requirements
- 5+ years of product management experience, preferably in AI, ML, automation, or data-driven products
- Strong understanding of AI technologies (LLMs, embeddings, OCR, predictive models) and their business applications
- Proven ability to translate complex technical concepts into clear business outcomes
- Experience with cloud-based AI platforms (AWS, GCP, Azure) and vendor evaluation processes
- Familiarity with compliance and governance frameworks related to AI or data automation
- Excellent communication and stakeholder management skills
Responsibilities
- Drive Automation Strategy: Identify and prioritize high-ROI opportunities to automate internal processes and customer-facing workflows using AI (e.g., document extraction, data matching, code generation, and intelligent support bots)
- Define Product Vision: Translate business needs into functional requirements, product specs, and measurable success metrics for AI-powered modules leveraging LLMs, embeddings, OCR, and predictive analytics
- Collaborate Cross-Functionally: Partner with ML engineers to design and implement human-in-the-loop workflows, confidence-scoring systems, and validation frameworks to ensure accuracy and trust
- Integrate AI into Core Products: Develop and maintain a product roadmap for embedding automation into existing solutions, such as receipt and invoice reconciliation or ad platform optimizations to enhance efficiency and scalability
- Ensure Governance and Compliance: Align automation initiatives with data governance, compliance, and auditability standards, ensuring responsible and transparent AI implementation
- Evaluate and Implement Technologies: Conduct vendor assessments (e.g., Google Vertex AI, AWS Bedrock, OpenAI APIs) and manage proofs of concept (PoCs) to validate technical feasibility and business impact
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What experience level is required for this Product Manager role?
The role requires 5+ years of product management experience, preferably in AI, ML, automation, or data-driven products.
What is the work arrangement for this position?
The position offers hybrid flexibility.
What key skills are needed for this role?
Candidates need a strong understanding of AI technologies like LLMs, embeddings, OCR, and predictive models; experience with cloud-based AI platforms such as AWS, GCP, Azure; and excellent communication and stakeholder management skills.
What is the company culture like at ShyftLabs?
ShyftLabs is a growing data product company working with Fortune 500 clients, emphasizing impactful work, shaping solutions, influencing strategy, and career growth in a collaborative environment.
What makes a strong candidate for this Product Manager position?
A strong candidate has proven ability to translate complex technical concepts into clear business outcomes, familiarity with compliance and governance frameworks for AI or data automation, and experience collaborating cross-functionally with engineers and stakeholders.
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
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