Head of AI Project Management
Head of AI Project Management
Posted on :
12-05-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
12-05-2025
Job Description
Description
Our client is on a mission to transform how professional organizations industry associations and expert communities solve problems deliver value and engage their members. Theybelieve that with the right blend of innovation leadership and technology these communities can play an even more powerful role in shaping industries and society.
Our client is building intelligent humancentered solutions that help these organizations thrivecombining the promise of AI with a deep understanding of how people and communities work. Founded by experienced leaders in technology product strategy and gotomarket execution they are ready to scale.
They are currently seeking an experienced Head of AI Product Management to join their growing team.
As the Head of AI Product Management you will:
- Spearhead Clients product vision and execution for our neurosymbolic humanintheloop (HITL) vertical AI platform.
- Shape the product vision strategy and priorities ensuring alignment with company goals and market needs.
- Guide crossfunctional teams from concept through launch integrating cuttingedge AI (including agentic AI and LLM technologies) with usercentric design.
- Champion Clients neurosymbolic AI approach blending machine learning with symbolic reasoning and leverage HITL feedback loops to continuously refine product performance and trustworthiness.
- Be held accountable for delivering AI products that are innovative scalable ethical and impactful in realworld industry verticals.
Role Requirements include:
- Commercial Experience: 7 years in product management with at least 35 years specifically managing AI or machinelearning based products (e.g. AI SaaS data/analytics platforms or intelligent enterprise software)
- Demonstrated Success: You have taken a product from idea to launch especially in a startup or fastmoving environment. Prior leadership of product teams or crossfunctional product initiatives is required.
- Domain Knowledge: Strong understanding of AI/ML technologies and their commercial applications you should grasp the basics of model development data pipelines and AI usecases. Handson familiarity with concepts like NLP computer vision or recommender systems in a product context is expected. Experience with humanintheloop systems or AI model lifecycle management is highly advantageous aligning with Sapiences approach.
- Industry Background: Experience working in B2B software or enterprisefocused products. Knowledge of challenges in deploying AI in enterprise settings (such as data privacy model explainability requirements integration with legacy systems) will help you anticipate and address client needs.
- Leadership & Soft Skills: Proven ability to lead and influence teams. You should have excellent collaboration skills having driven results in a matrixed organization. Exceptional communication and presentation abilities are a must from crafting compelling product visions for execs to conducting demos for clients and writing clear requirements for engineers
Skills & Competencies
- Product Strategy & Execution: Ability to formulate a bold product vision and break it down into executable steps. Highly skilled in product road mapping requirements writing and backlog management with attention to detail and quality.
- AI/ML Literacy: Strong familiarity with AI/ML concepts and the software development lifecycle.
- Analytical & DataDriven: Excellent analytical skills with a metricsdriven approach to decision making. Proficient in using analytics and user data to derive insights; comfortable defining KPIs and interpreting A/B test results or usage funnels to iterate on the product.
- Customer Empathy & UX Sense: Deep empathy for endusers and enterprise customers. You champion the users perspective in all decisions ensuring the AI product remains intuitive and solves meaningful problems. A good eye for user experience and design; able to work closely with UX/UI teams to craft seamless interactions even around complex AI functionality.
- Agility & Adaptability: Comfortable in a startup environment where priorities can shift.
Tools & Services Experienced With
- Product Management Tools: Proficiency with tools like Jira Trello or Asana for backlog and project tracking. Experience using road mapping software (Aha! Productboard etc.) to communicate plans. Familiarity with collaboration and documentation tools (Confluence Notion Workspace) to create specs and reports.
- Analytics & Feedback Tools: Handson experience with product analytics and user feedback platforms. For example usage of Mixpanel Google Analytics Amplitude or similar to monitor product metrics; experience running user surveys or using feedback tools like UserVoice. Some knowledge of A/B testing frameworks and experimentation platforms is beneficial for datadriven feature rollout.
- AI/ML Ecosystem Familiarity: While not coding you have exposure to AI/ML tools and cloud services. This could include understanding of platforms like AWS (SageMaker) Google Cloud AI Azure AI or familiarity with OpenAI/Anthropic APIs etc. You know enough to discuss integration of an AI service or to evaluate the feasibility of a machine learning feature. Knowledge of MLOps concepts and tools (e.g. model deployment workflows monitoring tools like MLflow) is a plus enabling close collaboration with the ML Engineering team.
- Design/UX Tools: Experience working with design outputs comfortable reviewing Figma or Adobe XD files for instance and providing feedback. You might not design yourself but you can navigate design prototypes and ensure the user experience aligns with product requirements.
- CRM and Customer Success Systems: Understanding of systems like Salesforce or HubSpot and how product features funnel into customer usage and feedback. Experience aligning CRM data or support ticket systems (Zendesk Intercom) to glean product improvement ideas.
- Office & Presentation: Highly proficient with standard business tools (Excel/Sheets for analysis PowerPoint/Slides for presentations). Able to create clear presentations of product strategy or roadmap for executives and customers. If you have used more advanced data tools (SQL Tableau) or prototyping tools (Marvel InVision) thats a plus demonstrating a breadth of toolkit.
Prior Industry Experience
- Enterprise Software & SaaS: You have spent a significant part of your career in software companies delivering solutions to enterprise clients. This means you understand reliability scalability and support requirements of enterprisegrade products. You likely have experience aligning with enterprise sales teams and understanding B2B client expectations (SLAs onboarding security reviews etc.).
- AI or Data Technology Companies: Your background includes roles at companies where AI or data analytics is a core product. For example you may have worked at an AI platform company a big cloud providers AI division or a startup building AIdriven applications. This experience ensures you can handle the nuances of AI product development (like iterative model improvements and data dependency) and communicate value in a space that can be hypedriven.
- Top Tech or Innovative Firms: Preferably youve been part of an innovative tech culture possibly at one of the industry leaders mentioned (OpenAI Google Microsoft Meta Apple Netflix Anthropic DeepMind etc.) or a wellregarded startup. Being in such environments often means you have seen bestinclass practices and can bring that rigor and creativity to Sapience.
- Vertical Domain Exposure: Because Sapiences AI agents are verticalfocused any domain expertise you bring (be it finance healthcare legal etc.) can be useful. For instance if you helped build an AI product in finance youre familiar with compliance and data issues in that space. While domain expertise is not strictly required having launched products in one or more verticals will help you quickly adapt Sapiences platform to industryspecific needs.
- HumanCentered AI Projects: Experience in projects that combined human expertise with AI is valuable. Perhaps you worked on a product with a crowdsourced labeling component or a decision support tool where humans and AI interacted. This experience directly aligns with Sapiences HITL philosophy and will help in designing effective humanAI workflows.
Preferred Education
A strong educational foundation underpins this role. A Bachelors degree in Computer Science Engineering Data Science Artificial Intelligence HumanComputer Interaction or Engineering disciplines or related relevant fields (or equivalent practical experience) is required. An MBA or advanced degree is a plus reflecting strategic business training but not required if compensated for by strong realworld product success.
If interested in learning more about this dynamic new opportunity please send your resume to emailprotected.
Required Experience:
Director
Employment Type
Full-Time
Department / Functional Area
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