Senior Manager AI Foundation

Emerging Technology Group

Emerging Technology Group (ETG) is ServiceNows DT internal incubation group. Being customer zero for ServiceNow products we ensure the products works for us internally and delivers value as it gets in hands of our customers. As Customer Zero we implement all our technology workflows and deliver the best experience. With AI everywhere we are in charge of AI Experiences which cut across the enterprise like Search Conversational Interfaces Automation and helping our DT developers to be productivity to build enterprise grade products on ServiceNow Platform.

We are focused on accelerating innovations and developing new concepts forwardthinking solutions and products leveraging ServiceNows Intelligent platform and the best industry standards.

If you enjoy learning growing andmaking an impact you will love being in this role. You get exposure to every facet of the enterprise and can make a meaningful impact on both the business and on the people who work here. You will face new obstacles and priorities every day which can be invigorating and push the boundaries of your thought process.

What our team values:

• Being humble and having each others backs
• Learning new things and offering expertise with each otherby answering a quick question on teams pairing on a feature or managing a lunch and learn session
• Producing high quality work were proud of and not taking shortcuts
• Having funwe like to joke around eat lunch collectively and even hang outside of work
• Leaving work at work maintaining a sustainable pace (no big bangs few big pushes)

About the Role:

We are seeking a highly experienced and visionary Senior Manager for our AI Foundation team. This role is pivotal in driving the strategy development and implementation of AI capabilities services and solutions to assist our organizations AI initiatives that is a mix of traditional AI and Generative AI. The successful candidate will guide a team of AI engineers product managers and architects ensuring the delivery of cuttingedge AI technologies that enhance our products and services.

Key Responsibilities:

1. Strategic Leadership:

• Codevelop and drive execution of the strategic vision for AI capabilities services and solutions in alignment with the companys overall AI strategy. Combination of Traditional AI capabilities and Gen AI that will drive value to our stakeholders.
• Collaborate with senior leadership to identify opportunities for AI integration across various business units.

2. Team Management:

• Guide mentor and grow a highperforming team of AI and data engineers.
• Foster a collaborative and innovative team environment that encourages continuous learning and improvement.

3. AI Foundation Development and Maintenance:

• Oversee the design development and deployment of scalable AI capabilities services and solutions.
• Ensure the reliability security and performance of AI capabilities services and solutions enabling seamless integration with existing systems.
• Roll out Scalable AI Services at speed like LLM as service Content Moderation service Document Parser AI Agents Recommendations engine etc.

4. Project Management:

• Manage multiple AI projects ensuring they are delivered on time within scope and within budget.
• Establish clear project goals timelines and deliverables while effectively communicating progress to stakeholders.

5.Innovation and Implementation:

• Stay abreast of the latest advancements in AI technologies and methodologies.
• Drive the adoption of best practices in AI and machine learning across the organization.
• Implement AI solutions that drive business value and enhance customer experiences.

6.Stakeholder Engagement:

• Partner with crossfunctional teams to understand their AI needs and develop tailored solutions.
• Present AI strategies and project updates to executive leadership and key stakeholders.

7.Governance and Compliance:

• Ensure all AI initiatives comply with relevant data privacy regulations and ethical standards.
• Develop and enforce governance frameworks to manage AI models and data usage specifically with regards to LLMs.

Qualifications :

Experience:

• 10 years of experience in technology leadership roles with a focus on AI.
• Experience managing a distributed team.
• Expertise in Python OOP Design Patterns time and spaceefficient algorithms.
• Experience building new products that use challenging algorithms.
• Experience in delivering highly scalable AI services in the enterprise world.
• Expertise in coding efficient objectoriented modularized and quality software.
• Strong knowledge of core AI/ML techniques and algorithms.
• Strong working knowledge of PEFT/LORA techniques GPU inference optimization LLM transformer architectures Autoevaluation methods.
• Bias for Action even in ambiguous net new contexts.
• Knowledge of unit testing profiling and code tuning.

Work Style:

• Comfortable working independently with minimal guidance supporting leadership and driving initiatives.
• Ability to operate without direct supervision prioritizing tasks and supporting multiple leaders.

Leadership and Relationships:

• 5 years of managerial experience capable of both direct work contributions and managing a team.
• Proven capability in building relationships and fostering connections across various levels of the organization for success.
• Proven track record of leading and managing highperforming teams.

Skills:

• Strong understanding of MLOps practices and proven experience of delivering great quality on enterprise software.
• Exceptional verbal and written communication skills with a collaborative and engaging approach.
• Ability to interface effectively with customers and diverse roles across all organizational levels.
• Comfort in ambiguous situations coupled with thoughtful curiosity and a proactive attitude.

Analytical & DataOriented:

• Analytical and dataoriented mindset to solve complex business problems and recommend continuous improvement initiatives.

Environment and Tools:

• Thrives in a fastpaced dynamic work environment.
• Knowledge of Snowflake or Databricks Kubernetes LLMs document and vector databases and cloud based AI services such as Azure ML.
• ServiceNow Platform expertise is preferred.

Not sure if you meet every qualification We still encourage you to apply! We value inclusivity welcoming candidates from diverse backgrounds including nontraditional paths. Unique experiences enrich our team and the willingness to dream big makes you an exceptional candidate!

For positions in this location we offer a base pay of $192700 $337300 plus equity (when applicable) variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location. We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Remote Work :

Yes

Employment Type :

Fulltime