AI Technical Product Manager
Job Summary
Job Description
The AI Technical Product Manager will lead the strategy, development, and implementation of an enterprise-wide AI Assistant. Key responsibilities include leading the end-to-end AI implementation strategy, identifying opportunities through digital transformation, developing roadmaps for AI Assistant capabilities in facilities management, HR, finance, payroll, time & attendance, billing, and safety. Collaborating with engineering, data science, and business teams to productize internal data. Ensuring that AI-driven applications are customer-centric, intuitive, and delivering measurable business outcomes. Driving cross-functional alignment. Staying on the pulse of AI advancements.
Must have:
- Proven experience leading AI implementation strategies in complex environments.
- Hands-on experience in both predictive and generative AI.
- Demonstrated success in productizing data through AI-driven tools.
- Strong background as a Technical Product Manager in AI or data products.
- Deep business acumen translating technical capabilities into business value.
- Experience building or managing customer-facing assistant solutions.
- Excellent collaboration, communication, and stakeholder management skills.
Good to have:
- Experience building AI solutions across multiple functional areas.
- Background in enterprise SaaS or workforce management solutions.
- Familiarity with tools and frameworks for NLP, ML, and generative AI.
- Masters in computer science/data science preferred.
8 skills required
Job Details
AI Technical Product Manager
We are seeking an experienced and business-savvy Technical Product Manager to lead the strategy, development, and implementation of an enterprise-wide AI Assistant. This role will focus on delivering intelligent, customer-centric solutions across key business functions including Insite, HR, Finance, Payroll, Labor Management, Billing, and Safety. The ideal candidate has deep expertise in both predictive and generative AI, a strong track record of productizing data, and a passion for solving real business problems through innovation.
Key Responsibilities:
- Lead the end-to-end AI implementation strategy, from discovery to deployment, across multiple business functions.
- Identify opportunities through digital transformation initiatives, developing scalable, AI-powered solutions that improve operations and productivity.
- Develop and execute the roadmap for a comprehensive AI Assistant to support Predictive and generative AI capabilities in the following areas:
- Facilities management/Insite: SOW Management, Verifications & Validations, Routes & Productivity, Work Requests, Reporting, Score Cards
- HR: Onboarding, Performance Management
- Finance: Budget Management
- Payroll: Burden Management
- Time & Attendance: Labor Management
- Billing
- Safety
- Collaborate closely with engineering, data science, and business teams to productize internal data and build intelligent, proactive assistant capabilities.
- Ensure that AI-driven applications are customer-centric, intuitive, and deliver measurable business outcomes.
- Drive cross-functional alignment with stakeholders to ensure delivery of high-impact AI features and tools.
- Stay on the pulse of AI advancements, applying innovative methods to improve automation, insights, and decision-making.
Required Qualifications:
- Proven experience leading AI implementation strategies in complex enterprise environments.
- Hands-on experience in both predictive and generative AI, with a focus on real-world application and business impact.
- Demonstrated success in productizing data through AI-driven tools, platforms, or assistants.
- Strong background as a Technical Product Manager within the AI or data products space.
- Deep business acumen with the ability to translate technical capabilities into clear business value.
- Experience building or managing customer-facing or internal assistant solutions.
- Excellent collaboration, communication, and stakeholder management skills.
Preferred Qualifications:
- Experience building AI solutions across multiple functional areas (e.g., HR, Finance, Operations).
- Background in enterprise SaaS or workforce management solutions.
- Familiarity with tools and frameworks for natural language processing, machine learning, and generative AI.
- Masters in computer science/data science preferred.
Compensation: $250,000 - $275,000 per year (Bonus Eligible)
SBM Management Services, LP and its affiliates are proud to be equal opportunity workplaces. We are committed to equal employment opportunity regardless of race, sex, color, ancestry, religion, national origin, sexual orientation, citizenship, age, marital status, disability, gender identity, Veteran status, or other legally protected status.
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