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Manager Ai Safety Jobs in Indiana (NOW HIRING)

Reports to: Sr. Safety Manager Works closely with: Project Manager, Construction Manager ... use of AI note-takers, recording devices, or real-time transcription software is strictly ...

Reports to: Sr. Safety Manager Works closely with: Project Manager, Construction Manager ... use of AI note-takers, recording devices, or real-time transcription software is strictly ...

... behind AI, cloud computing, and the innovations of tomorrow. At E2 Optics, you will work with ... Safety is E2 Optics' number one Core Value. All employees are expected to follow safe work ...

... of AI/ML platforms. Job Title: Safety Supervisor About the Role: A Safety Supervisor is a proactive professional responsible for developing, implementing, and managing comprehensive accident ...

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Manager Ai Safety information

What is a Manager AI Safety?

Manager AI Safety roles involve overseeing teams and projects that ensure artificial intelligence systems are safe, ethical, and aligned with organizational and societal values. Managers in this field coordinate research, implement safety protocols, and ensure compliance with regulations and industry standards. They often collaborate with data scientists, engineers, and policy experts to identify risks and develop strategies to mitigate them. Additionally, they may be responsible for educating stakeholders about AI safety and leading incident response when issues arise.

What are some common challenges faced by a Manager AI Safety, and how can they be addressed?

One common challenge for a Manager in AI Safety is balancing the rapid pace of AI development with the need to implement thorough safety protocols and risk assessments. This often requires close collaboration with cross-functional teams, including researchers, engineers, and legal experts, to ensure that safety considerations are integrated at every stage of a project. Additionally, staying current with evolving regulations and ethical standards can be demanding, so continuous learning and fostering a culture of open communication are essential. Proactively addressing these challenges helps ensure responsible AI deployment and long-term career growth in this emerging field.

What are the key skills and qualifications needed to thrive as a Manager AI Safety, and why are they important?

To thrive as a Manager AI Safety, you need a strong background in computer science, machine learning, risk assessment, and ideally an advanced degree in a relevant field. Familiarity with AI safety frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch, as well as understanding of compliance standards, is typically required. Excellent leadership, communication, and critical thinking skills help you guide teams and clearly articulate complex technical risks to stakeholders. These competencies are crucial for ensuring the development and deployment of safe, ethical AI systems that align with organizational and societal values.

What is the difference between Manager Ai Safety vs Data Scientist?

AspectManager Ai SafetyData Scientist
Required CredentialsBachelor's or master's in AI, Computer Science, or related fields; experience in AI safetyBachelor's or master's in Data Science, Statistics, or related fields; programming skills
Work EnvironmentFocus on AI safety protocols, risk mitigation, cross-team collaborationData analysis, model development, statistical modeling
Industry UsageTech companies, AI research labs, organizations focusing on safe AI deploymentTech firms, research institutions, data-driven industries

The main difference is that Manager Ai Safety oversees AI safety initiatives, risk management, and team coordination, while Data Scientists focus on analyzing data, building models, and deriving insights. Both roles require technical expertise, but their focus areas and responsibilities differ significantly.

What are the most commonly searched types of Ai Safety jobs in Indiana?

The most popular types of Ai Safety jobs in Indiana are:

What job categories do people searching Manager Ai Safety jobs in Indiana look for?

The top searched job categories for Manager Ai Safety jobs in Indiana are:

What cities in Indiana are hiring for Manager Ai Safety jobs?

Cities in Indiana with the most Manager Ai Safety job openings:

Lead Product Manager, AI Platform Products

Wolters Kluwer N.V.

Indianapolis, IN • On-site

$107.50 - $188.40/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago


Job description

## Lead Product Manager, AI Platform ProductsApplyremote type: Hybrid (8 days/month)locations: USA - Indianapolis, IN: USA - Madison, WI, Junction Rd: USA - Waltham, MA: USA - Philadelphia, PA: USA - Chicago, IL, West Adams Sttime type: Full timeposted on: Posted 8 Days Agojob requisition id: R0057100We are seeking a hands-on **Lead Product Manager** to define, build, and ship AI-enabled platform products built on top of healthcare-grade data services and APIs. This role is ideal for a product leader who can turn complex underlying services into clear product requirements, workflows, and usable capabilities.You will work directly on a growing library of Model Context Protocol (MCP) tools built on top of established medication and clinical web services, with a focus on making those capabilities safe, reliable, and useful in AI-driven workflows. You will partner day to day with engineering, AI, clinical, and product stakeholders to define requirements, write user stories and acceptance criteria, prioritize roadmap decisions, and help bring new capabilities from concept through release.This role is best suited for someone who has built API-first or technically complex products, is comfortable working closely with engineering on detailed product decisions, and can move fluidly between customer problems, system behavior, and delivery execution. Healthcare experience is strongly preferred. Experience with MCP, tool orchestration, or agentic systems is a plus.**What you'll do*** Define product strategy and roadmap for AI-enabled platform capabilities built on healthcare APIs and data services.* Translate complex web services into clear product workflows, requirements, and implementation-ready product decisions.* Partner closely with engineering to define product behavior for tool inputs, outputs, schemas, error handling, and platform usability.* Write clear PRDs, user stories, acceptance criteria, and workflow definitions for new product capabilities.* Work directly with engineering to break down ambiguous product problems into shippable increments.* Help shape how products behave in AI-driven environments, including tool selection, tool sequencing, workflow logic, and multi-step orchestration patterns.* Develop a strong understanding of the underlying data, service behaviors, and workflow logic that power the product.* Help define product requirements for validation across technical correctness, functional tool invocation, robustness, clinical appropriateness, and end-to-end workflow performance.* Partner with clinical and editorial stakeholders to ensure product behavior is safe, credible, and aligned to permitted use cases.* Drive prioritization decisions across product features, testing capabilities, workflow support, and developer experience improvements.* Create product artifacts such as PRDs, tool requirements, user stories, release requirements, use case definitions, and prioritization documents.* Support internal and external product readiness by documenting intended product behavior, constraints, and rollout considerations.* Balance near-term delivery with longer-term platform thinking, avoiding overbuilt solutions while building a foundation that can scale.**Required qualifications*** 5+ years of product management experience, with meaningful ownership of technical, platform, or API-driven products.* Experience building or managing API-first products, workflow products, developer platforms, or other technically complex systems.* Demonstrated ability to work closely with engineering on technical requirements, integrations, schemas, delivery tradeoffs, and release execution.* Proven experience writing product requirements, user stories, and acceptance criteria for engineering teams.* Ability to understand structured data, service behavior, and API-driven workflows well enough to make effective product decisions.* Experience with AI-enabled products, including products that rely on LLMs, decisioning systems, or structured tool invocation.* Strong product judgment in ambiguous environments and the ability to turn loosely defined problems into clear next steps.* Ability to translate complex technical systems into clear product requirements and business value.* Strong written and verbal communication skills, with the ability to work effectively across product, engineering, AI, clinical, and business stakeholders.* Experience defining product success metrics and operating with a test-and-learn mindset.**Preferred qualifications*** Experience in healthcare, life sciences, clinical workflow, pharmacy, medication data, or regulated data products.* Familiarity with clinical decision support, drug content, medication workflow products, or healthcare interoperability.* Experience working with agentic systems, orchestration layers, or Model Context Protocol (MCP).* Experience designing products that must balance usability, safety, auditability, and trust.* Background working with evaluation frameworks for AI systems, including tool-call accuracy, workflow completion, and robustness testing.* Experience partnering with domain experts in regulated or high-trust environments.**What success looks like*** A clear and credible product plan for AI-enabled platform capabilities.* Well-defined MCP tools and workflows grounded in real use cases and clear product requirements.* Clear, actionable product requirements that help engineering move quickly and reduce ambiguity.* Strong cross-functional alignment between product, engineering, AI, and clinical stakeholders.* Faster, more consistent delivery of AI-enabled product capabilities built on top of core APIs.* Validation approaches that reduce risk and improve confidence in product behavior before launch.* Product decisions that improve adoption while respecting workflow realities, safety constraints, and implementation practicality.**Why this role matters**This role sits at the intersection of healthcare data, APIs, and AI-enabled workflow products. The work involves building a library of MCP tools on top of existing medication and clinical web services, where success depends not only on technical correctness, but also on reliable tool behavior, safe use in AI-driven experiences, and fit within real-world workflows.The product environment is highly cross-functional and requires close partnership across engineering, AI, and domain stakeholders. The role includes helping translate product goals into requirements that can be validated through tool behavior, workflow testing, and evidence-based iteration.Because the underlying services support concrete healthcare use cases such as drug interactions, allergy screening, duplicate therapy screening, contraindications, drug identification, and patient education, healthcare domain familiarity is valuable, but the most important quality is the ability to work hands-on with technical teams to turn complex systems into useful products.## Our Interview Practices*To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.**Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.***Compensation:**$107,500.00 - $188,400.00 USDThis role is eligible for Bonus.*Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.*## **Additional Information**:Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request. #J-18808-Ljbffr