
## Full Description
AI Infrastructure Network Manager, Data CentreHeadquartersHKCMIXApplyStaff Application

Responsibility

• Network Monitoring & Maintenance:

• Assist in daily network inspections, performance monitoring, and health checks for AI infrastructure.

• Support troubleshooting of IP networks (IGP/BGP), EVPN, and NVIDIA InfiniBand issues.

• Follow escalation procedures for critical incidents and collaboratewith senior engineers.

• Network Operations Support:

• Work with network management systems (NMS) for logging, alerts, and basic configurations.

• Assist in implementing network changes and optimizations under supervision.

• Vendor & Documentation Coordination:

• Liaise with vendors (Cisco, Huawei, NVIDIA) for hardware/software support as needed.

• Maintain network documentation, including topology diagrams and incident reports.

• Team Collaboration:

• Work closely with senior network supervisors and cross-functional teams.

• Provide guidance to junior engineers on standard procedures.

Requirements

• 8-12 years in network operations, preferably in data center/cloud/AI environments.

• Hands-on experience with IP networking (OSPF/BGP), EVPN, and basic InfiniBand knowledge.

• Familiarity with network monitoring tools (e.g., SolarWinds, Nagios, Prometheus).

• Certifications (Preferred but Not Mandatory):

• Cisco (CCNA/CCNP), Huawei (HCIP), or NVIDIA networking certifications.

• Soft Skills:

• Strong analytical and problem-solving skills.

• Ability to work in a team and follow operational protocols.

• Language Skills:

• Fluent in English and Mandarin; Cantonese proficiency is a strong plus.




## Full Description
Head of AI Research | High-Growth Start-Up | London

We’re seeking a Head of AI Research to spearhead the technical vision and growth of an ambitious, well-funded early-stage start-up redefining what’s possible with intelligent systems. You’ll lead a world-class team of researchers and engineers, setting the direction for AI innovation while staying close to the code and experiments that make it happen.

This is a rare opportunity to join at a pivotal stage of the company’s journey - where your decisions will shape both the technology and the team from the ground up.

What You’ll Bring

• MSc or PhD in AI, Machine Learning, Computer Science, Robotics, or a related quantitative field.

• 5+ years working at the intersection of research and engineering, translating state-of-the-art AI into production systems.

• Proven leadership experience - mentoring researchers, building high-performance AI teams, and setting technical roadmaps.

• Strong programming expertise in Python, C++, Rust, or Java.

• Publication record at leading AI/ML conferences or journals (e.g. NeurIPS, ICLR, CVPR, ICCV, ICRA).

• Clear communication skills, capable of bridging the gap between research depth and business strategy.

• A builder’s mindset - hands-on, experimental, and eager to solve complex problems with pragmatic AI solutions.

• Preference for on-site collaboration in London, contributing to a fast-moving, high-energy environment.

Why Join

As Head of AI Research, you’ll define the core research agenda, establish best practices for experimentation and deployment, and ensure AI becomes a key driver of innovation across the organisation. You’ll work with founders, product leaders, and engineers to turn breakthrough ideas into real-world impact.

Head of AI Research | High-Growth Start-Up | London



## Qualifications
* This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed
* You must be uncomfortable with status quo, curious about new programs and initiatives impacting our customers, partners, and employees, and possess the ability to ask the right questions
* This function needs to have a bias for action, make informed decisions, demonstrating a proactive approach to projects and tasks
* You must be comfortable taking risks and raising the bar for new ways of doing things
* Strong analytical, Think Big, Invent & Simplify skills are crucial for success in this position
* 5+ years of developing, negotiating and executing business agreements experience
* Bachelor's degree
* Experience developing strategies that influence leadership decisions at the organizational level
* Experience managing programs across cross functional teams, building processes and coordinating release schedules
* Sales enablement and revenue growth programs
* These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation
## Benefits
* Work/Life Balance
* We value work-life harmony
* The base pay for this position ranges from $133,200/year in our lowest geographic market up to $220,200/year in our highest geographic market
* Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits
## Responsibilities
* This role will be pivotal in driving the successful implementation of key strategic initiatives and ensuring alignment with overall business objectives, to achieve our vision as a single organization
* This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence
* Lead the development and execution of comprehensive AAIS portfolio enablement strategy, ensuring alignment with overall GTM objectives and service team priorities
* Design and implement scalable field training programs, leveraging AI-powered tools and platforms to maximize reach and effectiveness across AWS's global sales organization
* Own and optimize AWS enablement tools (including Alchemy) for AAIS content management, ensuring high-quality, accessible resources for field teams
* Build and maintain measurement frameworks to evaluate enablement effectiveness, providing data-driven insights to optimize field performance and program impact
* Coordinate and execute strategic enablement initiatives including roadshows, training events, and certification programs across regions
* Develop and maintain comprehensive sales enablement content, ensuring consistency across the AAIS portfolio while maximizing use of AI for scale
* Create and manage feedback loops between field teams, product development, and GTM leadership to continuously improve enablement effectiveness
* Drive integration with existing AWS field scaling programs while identifying opportunities for AAIS-specific enhancements
* Partner with cross-functional teams (Marketing, Training, Service teams) to ensure aligned messaging and maximize resource utilization across enablement initiatives

## Full Description
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.

Our vision in the Applied AI Solutions Go-To-Market team is to be a leading provider of AI and Agentic business applications, leveraging Amazon's unique experience and expertise, used by millions of companies around the world to manage their day-to-day operations. Our mission is to accelerate our customers' businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We approach this challenge by blending vision with curiosity, and Amazon's real-world experience, to build opinionated, turn-key solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

We are seeking an experienced and strategic-minded Principal Tech BD to join the Applied AI Solutions GTM acceleration team and work closely with senior leaders, to ensure that we are aligned and working as single organization to achieve our strategic goals. This role will be pivotal in driving the successful implementation of key strategic initiatives and ensuring alignment with overall business objectives, to achieve our vision as a single organization.

This function will Accelerate the Applied AI Solutions GTM strategy and growth (as defined by our Operating Plan) through strategic initiatives that transform our organizational capability and operational excellence. This position requires a strong understanding of the internal AWS and external Partner business dynamics, AWS field enablement and planning processes, the ability to make important data-driven decisions, and bias for action to implement strategies that enhance performance with speed.

You must be uncomfortable with status quo, curious about new programs and initiatives impacting our customers, partners, and employees, and possess the ability to ask the right questions. This function needs to have a bias for action, make informed decisions, demonstrating a proactive approach to projects and tasks. You must be comfortable taking risks and raising the bar for new ways of doing things. Strong analytical, Think Big, Invent & Simplify skills are crucial for success in this position.

Key job responsibilities

1. Lead the development and execution of comprehensive AAIS portfolio enablement strategy, ensuring alignment with overall GTM objectives and service team priorities

2. Design and implement scalable field training programs, leveraging AI-powered tools and platforms to maximize reach and effectiveness across AWS's global sales organization

3. Own and optimize AWS enablement tools (including Alchemy) for AAIS content management, ensuring high-quality, accessible resources for field teams

4. Build and maintain measurement frameworks to evaluate enablement effectiveness, providing data-driven insights to optimize field performance and program impact

5. Coordinate and execute strategic enablement initiatives including roadshows, training events, and certification programs across regions

6. Develop and maintain comprehensive sales enablement content, ensuring consistency across the AAIS portfolio while maximizing use of AI for scale

7. Create and manage feedback loops between field teams, product development, and GTM leadership to continuously improve enablement effectiveness

8. Drive integration with existing AWS field scaling programs while identifying opportunities for AAIS-specific enhancements

9. Partner with cross-functional teams (Marketing, Training, Service teams) to ensure aligned messaging and maximize resource utilization across enablement initiatives

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.

BASIC QUALIFICATIONS

- 5+ years of developing, negotiating and executing business agreements experience

- Bachelor's degree

- Experience developing strategies that influence leadership decisions at the organizational level

- Experience managing programs across cross functional teams, building processes and coordinating release schedules

- Sales enablement and revenue growth programs

PREFERRED QUALIFICATIONS

- Experience interpreting data and making business recommendations

- MBA

- Experience presenting to both technical and non-technical executive audiences

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,200/year in our lowest geographic market up to $220,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.



## Qualifications
* 15+ years in AI and data security or related security disciplines, with 8+ years in leadership roles
* Bachelor's degree in computer science, data science, artificial intelligence, machine learning, cybersecurity, risk management, or a related technical field
* Experience designing and leading AI and data security programs
* Experience with product security, including secure development lifecycle and CI/CD best practices, AI/ML risks, secure coding practices, and software supply chain risk mitigation
* Experience with enterprise security, including risk mitigation and governance of AI/ML when developed or used for business objectives and AI and data security best practices for CRM, ERP, HRM, and other business workflows
* Experience with threats presented through the malicious use of AI or ML and substantive experience working with threat intelligence, CSIRT, PSIRT, Product, and Engineering teams to combat such risks
* Experience in data governance and security, including implementation of data governance and security frameworks, business initiatives to leverage data, and data security best practices such as identity and access management, attack surface management, and data loss prevention
* Experience defining security KPIs, metrics pipelines, and executive reporting frameworks
* Master's degree or higher
* Excellent stakeholder management and communication skills across technical and business audiences
* Strong cross-functional collaboration and stakeholder management skills, especially with Product, Engineering, Data, Privacy, and executive teams
* Excellent collaboration and communication management skills across technical and non-technical audiences
* CAIP, CISM, CRISC, CISSP, CCSP, or equivalent
* Familiarity with attack surface monitoring, supply chain security, and continuous control validation
* Experience driving automation strategies, predictive analytics, and data-driven insights
* Knowledge of frameworks such as NIST CSF, NIST AI RMF, ISO 27001, ISO 42001, FAIR, SOC 2, and FedRAMP
## Benefits
* Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience
* $218, $308,200.00 base salary
* Washington, Maryland, New Jersey and New York (including NYC metro area): $218, $329,525.00 base salary
* This Role Is Also Eligible For The Following
* Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals
* Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance
* This role is eligible to receive Restricted Stock Units (RSUs)
* Global benefits provide options for the following:
* Paid Time Off:
* earned time off, as well as paid company holidays based on region
* Paid Parental Leave:
* take up to six months off with your child after birth, adoption or foster care placement
* Full Health Benefits Plans:
* options for 100% employer paid and minimum employee contribution health plans from day one of employment
* Retirement Plans:
* select retirement and pension programs with potential for employer contributions
* options for coaching, online courses and education reimbursements
* paid time off following the loss of a loved one and other life-changing events
## Responsibilities
* Reporting directly to Docusign's Chief Information Security Officer, the Senior Director, AI & Data Security is a strategic and product-focused leader responsible for designing and executing comprehensive, enterprise-wide strategies for AI and data security
* The Senior Director will lead the AI & Data Security team within the Security organization and work closely with cross-functional business leaders to integrate security best practices into all business functions
* In this role, you will lead initiatives that secure AI development pipelines, enable safe adoption of AI tools, and mitigate risks from adversarial or malicious use of AI
* You will also oversee data security programs focused on protecting company and customer data, ensuring proper governance and enabling secure access
* Partnering with Engineering, Product, Security, Legal, IT, and Compliance teams, you will define and deliver programs that safeguard AI models, data, and AI-enabled platforms, bridging program delivery, risk management, and emerging AI and data security practices
* This position is a people manager role reporting to the Group Vice President, Chief Information Security Officer
* Develop and execute the organization's AI and data security strategies, aligning with overall business objectives, digital transformation initiatives, and product and enterprise security requirements
* Build a high-performing, product-driven team focused on measurable outcomes and continuous improvement
* Lead and mentor the security engineers within the AI and data security team
* Define, deliver, and continuously evolve AI and data security best practices
* Collaborate with AI/ML teams to implement secure model development practices, including secure training pipelines, data governance, and model monitoring
* Operationalize governance and guardrails for AI tool adoption, ensuring safe and compliant use across the organization
* Drive data security programs, ensuring security best practices, resilience, and regulatory compliance in how data is collected, stored, processed, and leveraged
* Partner with Product, Engineering, and Security leaders to embed secure-by-design principles into AI systems, data platforms, and product workflows
* Translate technical risk into business impact, providing clear updates, trade-off discussions, and recommendations to executives
* Ensure products meet internal security standards, industry frameworks, and regulatory requirements
* Define measurable success criteria and report outcomes to leadership
* Collaborate with customer-facing security teams to support security assurance activities where required
* Employee divides their time between in-office and remote work. Access to an office location is required
* Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

## Full Description
Company Overview

Docusign brings agreements to life.

Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives.

With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity.

Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

What you'll do

Reporting directly to Docusign's Chief Information Security Officer, the Senior Director, AI & Data Security is a strategic and product-focused leader responsible for designing and executing comprehensive, enterprise-wide strategies for AI and data security.

The Senior Director will lead the AI & Data Security team within the Security organization and work closely with cross-functional business leaders to integrate security best practices into all business functions.

In this role, you will lead initiatives that secure AI development pipelines, enable safe adoption of AI tools, and mitigate risks from adversarial or malicious use of AI.

You will also oversee data security programs focused on protecting company and customer data, ensuring proper governance and enabling secure access.

Partnering with Engineering, Product, Security, Legal, IT, and Compliance teams, you will define and deliver programs that safeguard AI models, data, and AI-enabled platforms, bridging program delivery, risk management, and emerging AI and data security practices.

This position is a people manager role reporting to the Group Vice President, Chief Information Security Officer.

Responsibility

Develop and execute the organization's AI and data security strategies, aligning with overall business objectives, digital transformation initiatives, and product and enterprise security requirements

Build a high-performing, product-driven team focused on measurable outcomes and continuous improvement

Lead and mentor the security engineers within the AI and data security team

Define, deliver, and continuously evolve AI and data security best practices

Collaborate with AI/ML teams to implement secure model development practices, including secure training pipelines, data governance, and model monitoring

Operationalize governance and guardrails for AI tool adoption, ensuring safe and compliant use across the organization

Drive data security programs, ensuring security best practices, resilience, and regulatory compliance in how data is collected, stored, processed, and leveraged

Partner with Product, Engineering, and Security leaders to embed secure-by-design principles into AI systems, data platforms, and product workflows

Translate technical risk into business impact, providing clear updates, trade-off discussions, and recommendations to executives

Ensure products meet internal security standards, industry frameworks, and regulatory requirements

Define measurable success criteria and report outcomes to leadership

Collaborate with customer-facing security teams to support security assurance activities where required

Job Designation

Hybrid:

Employee divides their time between in-office and remote work. Access to an office location is required.

(Frequency:

Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job.

Preferred job designations are not guaranteed when changing positions within Docusign.

Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

What you bring

Basic

15+ years in AI and data security or related security disciplines, with 8+ years in leadership roles

Bachelor's degree in computer science, data science, artificial intelligence, machine learning, cybersecurity, risk management, or a related technical field

Experience designing and leading AI and data security programs

Experience with product security, including secure development lifecycle and CI/CD best practices, AI/ML risks, secure coding practices, and software supply chain risk mitigation

Experience with enterprise security, including risk mitigation and governance of AI/ML when developed or used for business objectives and AI and data security best practices for CRM, ERP, HRM, and other business workflows

Experience with threats presented through the malicious use of AI or ML and substantive experience working with threat intelligence, CSIRT, PSIRT, Product, and Engineering teams to combat such risks

Experience in data governance and security, including implementation of data governance and security frameworks, business initiatives to leverage data, and data security best practices such as identity and access management, attack surface management, and data loss prevention

Experience defining security KPIs, metrics pipelines, and executive reporting frameworks

Preferred

Master's degree or higher

Excellent stakeholder management and communication skills across technical and business audiences

Strong cross-functional collaboration and stakeholder management skills, especially with Product, Engineering, Data, Privacy, and executive teams

Excellent collaboration and communication management skills across technical and non-technical audiences

Certifications:

CAIP, CISM, CRISC, CISSP, CCSP, or equivalent

Familiarity with attack surface monitoring, supply chain security, and continuous control validation

Experience driving automation strategies, predictive analytics, and data-driven insights

Knowledge of frameworks such as NIST CSF, NIST AI RMF, ISO 27001, ISO 42001, FAIR, SOC 2, and FedRAMP

Wage Transparency

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Based on applicable legislation, the below details pay ranges in the following locations:

Illinois, Colorado, Massachusetts and Minnesota:

$218, $308,200.00 base salary

Washington, Maryland, New Jersey and New York (including NYC metro area): $218, $329,525.00 base salary

This Role Is Also Eligible For The Following

Bonus:

Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals.

Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.

Stock:

This role is eligible to receive Restricted Stock Units (RSUs).

Benefits

Global benefits provide options for the following:

Paid Time Off:

earned time off, as well as paid company holidays based on region

Paid Parental Leave:

take up to six months off with your child after birth, adoption or foster care placement

Full Health Benefits Plans:

options for 100% employer paid and minimum employee contribution health plans from day one of employment

Retirement Plans:

select retirement and pension programs with potential for employer contributions

Learning and Development:

options for coaching, online courses and education reimbursements

Compassionate Care Leave:

paid time off following the loss of a loved one and other life-changing events

Life at Docusign

Working here

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work.

You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life.

Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it.

And for that, you'll be loved by us, our customers, and the world in which we live.

Accommodation

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at for assistance.

Applicant and Candidate Privacy Notice

States Not Eligible for Employment

This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.

Equal Opportunity Employer

It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive.

We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach.

We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.

EEO Know Your Rights poster



## Qualifications
* Security Clearance: Active Secret clearance
* 2+ years applying AI/ML to large-scale or mission systems (time-series/graph/NLP), including production deployments and lifecycle sustainment
* 2+ years MLOps (containerization, orchestration, CI/CD, model/version management, monitoring) and secure software practices
* Hands-on data engineering with SQL/NoSQL, stream processing (e.g., Kafka), and Python-based ML stacks (PyTorch or TensorFlow, scikit-learn, pandas)
* Demonstrated delivery in constrained/edge environments (performance tuning, model compression/quantization, resilience to disconnection)
* Familiarity with DoD cybersecurity processes (RMF, STIGs) and documentation practices
* Education: BS in Computer Science, Electrical/Computer Engineering, Data Science, Applied Mathematics, or related field (equivalent experience may substitute per GDIT policy)
* Position Availability: Position is currently pending final contract award
* Work Location: Onsite San Diego, CA (NIWC Pacific); ~10–25% CONUS/OCONUS travel to labs, shipyards, and fleet concentration areas per tasking
* US Citizenship Required
## Benefits
* Support: An internal mobility team focused on helping you achieve your career goals
* Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
* Flexibility: Full-flex work week to own your priorities at work and at home
* Community: Award-winning culture of innovation and a military-friendly workplace
* Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges
* Salary and Benefit Information
* The likely salary range for this position is $108,979 - $147,443
* This is not, however, a guarantee of compensation or salary
* Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range
## Responsibilities
* A career in applied machine learning at GDIT means building mission-grade analytics and automation that harden and optimize Navy tactical networks
* MEANINGFUL WORK AND PERSONAL IMPACT
* Design and implement ML solutions for network assurance and cyber defense: anomaly detection, fault prediction, QoS optimization, capacity planning, and automated triage across ashore/afloat/subsurface/airborne domains
* Build secure data pipelines (ETL/ELT) from CANES telemetry, logs, and performance counters; develop features for time-series, graph, and NLP use cases; enforce data governance and labeling quality
* Operationalize models with MLOps: containerize (Docker), orchestrate (Kubernetes/Openshift), version (MLflow/DVC), and automate CI/CD (GitLab/Jenkins) for model build/test/deploy in disconnected and low-bandwidth scenarios
* Optimize for edge inference using ONNX/TensorRT and CPU/GPU acceleration; implement drift monitoring, retraining triggers, A/B or canary deployments, and model explainability for operator trust
* Integrate analytics with enterprise tooling (e.g., REST/gRPC services, message buses, dashboards such as Grafana/Splunk) and with program configuration management (CMPro) and issue workflows (Jira/Confluence)
* Align solutions to Risk Management Framework (RMF) and DISA STIGs; produce artifacts (e.g., security design, data flows, test plans) supporting IATT/ATO packages in Enterprise Mission Assurance Support Service (eM
* ASS) in coordination with IA teams
* Support Developmental Test & Evaluation (DT&E), Test Readiness Reviews (TRRs), and lab events in NIWC Pacific facilities; collect test data, analyze results, and author technical reports/white papers
* Mentor engineers and analysts on ML best practices; contribute to Systems Engineering Plans (SEPs) and DoD Architecture Framework (DoDAF) views related to data/analytics services

## Full Description
Transform data into decisive advantage as a AI/ML Engineer with GDIT. A career in applied machine learning at GDIT means building mission-grade analytics and automation that harden and optimize Navy tactical networks. You’ll be at the forefront of innovation—advancing Consolidated Afloat Networks and Enterprise Services (CANES) and related platforms with NIWC Pacific (Codes 55131/55132/55133) in support of PMW-160 Tactical Networks.

At GDIT, people are our differentiator. Our work depends on a Senior AI/ML Engineer who can design, deploy, and sustain models at the edge—within virtualized, bandwidth-constrained, and intermittently connected environments—while meeting rigorous cybersecurity and programmatic standards.

MEANINGFUL WORK AND PERSONAL IMPACT

• Design and implement ML solutions for network assurance and cyber defense: anomaly detection, fault prediction, QoS optimization, capacity planning, and automated triage across ashore/afloat/subsurface/airborne domains.

• Build secure data pipelines (ETL/ELT) from CANES telemetry, logs, and performance counters; develop features for time-series, graph, and NLP use cases; enforce data governance and labeling quality.

• Operationalize models with MLOps: containerize (Docker), orchestrate (Kubernetes/Openshift), version (MLflow/DVC), and automate CI/CD (GitLab/Jenkins) for model build/test/deploy in disconnected and low-bandwidth scenarios.

• Optimize for edge inference using ONNX/TensorRT and CPU/GPU acceleration; implement drift monitoring, retraining triggers, A/B or canary deployments, and model explainability for operator trust.

• Integrate analytics with enterprise tooling (e.g., REST/gRPC services, message buses, dashboards such as Grafana/Splunk) and with program configuration management (CMPro) and issue workflows (Jira/Confluence).

• Align solutions to Risk Management Framework (RMF) and DISA STIGs; produce artifacts (e.g., security design, data flows, test plans) supporting IATT/ATO packages in Enterprise Mission Assurance Support Service (eMASS) in coordination with IA teams.

• Support Developmental Test & Evaluation (DT&E), Test Readiness Reviews (TRRs), and lab events in NIWC Pacific facilities; collect test data, analyze results, and author technical reports/white papers.

• Mentor engineers and analysts on ML best practices; contribute to Systems Engineering Plans (SEPs) and DoD Architecture Framework (DoDAF) views related to data/analytics services.

WHAT YOU’LL NEED TO SUCCEED (Required):

• Security Clearance: Active Secret clearance.

• Experience:

• 2+ years applying AI/ML to large-scale or mission systems (time-series/graph/NLP), including production deployments and lifecycle sustainment.

• 2+ years MLOps (containerization, orchestration, CI/CD, model/version management, monitoring) and secure software practices.

• Hands-on data engineering with SQL/NoSQL, stream processing (e.g., Kafka), and Python-based ML stacks (PyTorch or TensorFlow, scikit-learn, pandas).

• Demonstrated delivery in constrained/edge environments (performance tuning, model compression/quantization, resilience to disconnection).

• Familiarity with DoD cybersecurity processes (RMF, STIGs) and documentation practices.

• Education: BS in Computer Science, Electrical/Computer Engineering, Data Science, Applied Mathematics, or related field (equivalent experience may substitute per GDIT policy).

• Position Availability: Position is currently pending final contract award.

• Work Location: Onsite San Diego, CA (NIWC Pacific); ~10–25% CONUS/OCONUS travel to labs, shipyards, and fleet concentration areas per tasking.

• US Citizenship Required

WHAT WE’D LOVE FOR YOU TO HAVE (Desired):

• Prior support to PMW-160/NIWC Pacific or CANES-like programs; understanding of Navy network operations, GPON, QoS, and transport/optical basics.

• Certifications: Security+ CE (or higher 8140 baseline if privileged access assigned), CKA/CKAD, AWS/Azure/GCP ML Specialty, Splunk Core/Enterprise.

• Experience with graph ML (PyG/NetworkX), time-series platforms (Kats, Prophet), and XAI (SHAP/LIME).

• Integration with observability stacks (Prometheus/Grafana), IaC (Ansible/Terraform), and secure SBOM/supply-chain controls.

• Participation in CCRI prep, DT/OT data analysis, and performance test harness development.

GDIT IS YOUR PLACE

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI-powered career tool that identifies career steps and learning opportunities

• Support: An internal mobility team focused on helping you achieve your career goals

• Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off

• Flexibility: Full-flex work week to own your priorities at work and at home

• Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY

Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

Salary and Benefit Information

The likely salary range for this position is $108,979 - $147,443. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

View information about benefits and our total rewards program.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans



## Qualifications
* Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Machine Learning, or a related field (or equivalent experience)
* Experience with Machine Learning and Deep Learning concepts, algorithms and models
* Proficiency with orchestration and containerization tools like Kubernetes, Docker, or similar
* Expertise in modern container networking and storage architecture
* Expertise in orchestrating, running, and optimizing large-scale distributed training/inference workloads
* Have deep understanding of AI/ML workflows, encompassing data processing, model training, and inference pipelines
* Experience with parallel computing frameworks and paradigms
* Strong programming skills and proficiency in major deep learning frameworks
* Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates
## Benefits
* US: Hiring Range in USD from: $96,800 to $251,600 per annum
* May be eligible for bonus, equity, and compensation deferral
* Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business
* Oracle US offers a comprehensive benefits package which includes the following:
* Medical, dental, and vision insurance, including expert medical opinion
* Short term disability and long term disability
* Life insurance and AD&D
* Supplemental life insurance (Employee/Spouse/Child)
* Health care and dependent care Flexible Spending Accounts
* Pre-tax commuter and parking benefits
* 401(k) Savings and Investment Plan with company match
* Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position
* Accrued Vacation is provided to all other employees eligible for vacation benefits
* For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment
* Vacation accrual is prorated for employees working between 20 and 34 hours per week
* Employees working fewer than 20 hours per week are not eligible for vacation
* 11 paid holidays
* Paid sick leave: 72 hours of paid sick leave upon date of hire
* Refreshes each calendar year
* Unused balance will carry over each year up to a maximum cap of 112 hours
* Paid parental leave
* Adoption assistance
* Employee Stock Purchase Plan
* Financial planning and group legal
* Voluntary benefits including auto, homeowner and pet insurance
* We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options
## Responsibilities
* The Senior Principal AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale
* The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML workflows
* Evaluate, Integrate, and Optimize state-of-the-art technologies across the stack, for latency, throughput, and resource utilization for training and inference workloads
* Guide strategic decisions around Oracle Cloud's AI Infra offerings
* Design and implement scalable orchestration for serving and training AI/ML models, Model Parallelism & Performance across the AI/ML Stack
* Explore and incorporate contemporary research on generative AI, agents, and inference systems into the LLM software stack
* Lead initiatives in Generative AI systems design, including Retrieval-Augmented Generation (RAG) and LLM fine-tuning,
* Design and develop scalable services and tools to support GPU-accelerated AI pipelines, leveraging Kubernetes, Python/Go, and observability frameworks

## Full Description
Job Description

The Senior Principal AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud's AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloads-incorporating the latest research in generative AI and large language models-and leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML workflows.

Responsibilities

• Evaluate, Integrate, and Optimize state-of-the-art technologies across the stack, for latency, throughput, and resource utilization for training and inference workloads.

• Guide strategic decisions around Oracle Cloud's AI Infra offerings

• Design and implement scalable orchestration for serving and training AI/ML models, Model Parallelism & Performance across the AI/ML Stack

• Explore and incorporate contemporary research on generative AI, agents, and inference systems into the LLM software stack.

• Lead initiatives in Generative AI systems design, including Retrieval-Augmented Generation (RAG) and LLM fine-tuning,

• Design and develop scalable services and tools to support GPU-accelerated AI pipelines, leveraging Kubernetes, Python/Go, and observability frameworks.

Qualifications :

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Machine Learning, or a related field (or equivalent experience).

• Experience with Machine Learning and Deep Learning concepts, algorithms and models

• Proficiency with orchestration and containerization tools like Kubernetes, Docker, or similar.

• Expertise in modern container networking and storage architecture.

• Expertise in orchestrating, running, and optimizing large-scale distributed training/inference workloads

• Have deep understanding of AI/ML workflows, encompassing data processing, model training, and inference pipelines.

• Experience with parallel computing frameworks and paradigms.

• Strong programming skills and proficiency in major deep learning frameworks.

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

• Medical, dental, and vision insurance, including expert medical opinion

• Short term disability and long term disability

• Life insurance and AD&D

• Supplemental life insurance (Employee/Spouse/Child)

• Health care and dependent care Flexible Spending Accounts

• Pre-tax commuter and parking benefits

• 401(k) Savings and Investment Plan with company match

• Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

• 11 paid holidays

• Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

• Paid parental leave

• Adoption assistance

• Employee Stock Purchase Plan

• Financial planning and group legal

• Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC5

About Us

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing View email address on click.appcast.io or by calling View phone number on click.appcast.io in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.




## Full Description
Join to apply for the

Talent Acquisition Business Partner

role at

Flowmingo AI Flowmingo is reimagining how companies hire. We’re an AI-powered interview platform helping fast-growing teams identify top talent faster and more fairly. The best part? Flowmingo is FREE to adopt, making it easy for companies to try and implement. Our revenue comes from optional premium features that enhance control and customization—designed for organizations that want more structure or precision in their hiring process. About the Role As a

Talent Acquisition Business Partner , you’ll act as a trusted connector between Flowmingo and hiring teams in your network. You’ll help introduce the platform to HR professionals, recruiters, and decision-makers—and earn competitive commissions when they onboard. This is a

referral-based role

with no fixed hours. Whether you're an agency recruiter, HR consultant, talent acquisition expert, or simply someone with strong ties in the hiring space, this role offers flexibility and high-impact potential. What You’ll Do Share Flowmingo with your HR and recruiting network Introduce hiring teams to a platform that saves time and improves candidate experience Help new users understand how Flowmingo fits into their hiring workflow Provide feedback and insights that help us improve our product Work independently and earn based on successful referrals Who This Is For HR professionals, recruiters, and consultants with active networks People who love recommending tools that truly help Clear communicators who can explain how Flowmingo adds value Self-starters who want flexible, high-reward opportunities Work anytime, anywhere High-performance = high reward This is a

commission partner role . Your earnings are based on how many successful client referrals you generate. Transparent, performance-based payout structure Commission increases with volume and consistency Full visibility into your referral impact and client status How to Join To get started, please apply using the provided link. If we see a good fit, we’ll send you a short AI interview to learn more about your experience and communication style. Before applying, take a few minutes to browse Flowmingo’s website so you can understand our product and value. If you’re excited to represent a product that sells itself—and want a flexible role with high earnings potential—join us in shaping the future of hiring. Seniority level

Seniority level: Executive Employment type

Employment type: Contract Job function

Job function: Human Resources Industries: Software Development and Technology, Information and Media

#J-18808-Ljbffr



## Qualifications
* Minimum ten years of recent experience, including working as a trusted communications advisor in a similar role, preferably within a big tech environment
* Strong strategic thinking and problem-solving skills, with a track record of successful communications strategy execution
* Exceptional writing and editing skills, as well as experience with AI tools for communications and emerging media types and formats
* Superior relationship manager, collaborator and idea builder who can lead and excel in a fast-paced environment; experience in executive coaching, including the ability to present concepts confidently and persuasively
* Progressive experience managing teams
* Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
* These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation
## Benefits
* Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations
* In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle
* Available benefits are based on eligibility
* Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health
* Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year
* California Salary Range: $155000 - $311000
* KPMG offers a comprehensive compensation and benefits package
## Responsibilities
* Works closely with Communications senior leadership to develop KPMG's AI communications strategy focused on shaping, advancing and protecting reputation; oversees and implements strategic plan day to day and develops ideas to accelerate progress against strategic priorities with both internal and external audiences; analyze and refine the strategy as the AI landscape and technology rapidly evolves as an avid consumer of media and the AI topic
* Collaborate with Communications colleagues, business leaders and SMEs from across the firm to ensure cohesive and effective firm positioning across various platforms and audiences; maintain deep knowledge of the business strategy, competitive positioning and key internal and external initiatives, acting as a go-to resource for this knowledge across the Corporate Affairs team
* Develop and oversee the stakeholder engagement strategy for the Vice Chair of AI and Digital Innovation that comprehensively looks across internal leadership meetings, influencers including analysts, technology partners, clients and the media
* Serve as a trusted advisor to the Vice Chair of AI and Digital Innovation as well as the Head of the US AI Program; play an instrumental role in shaping and enhancing their internal and market presence through strategic coaching and high-visibility communications initiatives; bring new ideas forward based on internal factors and external trends
* Establish best practice processes and analytics to inform communications strategy and reporting; design and implement measurement frameworks to assess the impact of communication strategies and report on key metrics to demonstrate progress and value
* Provide leadership and coaching to the communications team; foster an innovative, collaborative, and high-performance culture
* Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

## Full Description
Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. Withqualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a Director, Corporate Affairs, AI and Digital Innovation to join our Corporate Affairs organization.

Responsibilities:

• Works closely with Communications senior leadership to develop KPMG's AI communications strategy focused on shaping, advancing and protecting reputation; oversees and implements strategic plan day to day and develops ideas to accelerate progress against strategic priorities with both internal and external audiences; analyze and refine the strategy as the AI landscape and technology rapidly evolves as an avid consumer of media and the AI topic

• Collaborate with Communications colleagues, business leaders and SMEs from across the firm to ensure cohesive and effective firm positioning across various platforms and audiences; maintain deep knowledge of the business strategy, competitive positioning and key internal and external initiatives, acting as a go-to resource for this knowledge across the Corporate Affairs team

• Develop and oversee the stakeholder engagement strategy for the Vice Chair of AI and Digital Innovation that comprehensively looks across internal leadership meetings, influencers including analysts, technology partners, clients and the media

• Serve as a trusted advisor to the Vice Chair of AI and Digital Innovation as well as the Head of the US AI Program; play an instrumental role in shaping and enhancing their internal and market presence through strategic coaching and high-visibility communications initiatives; bring new ideas forward based on internal factors and external trends

• Establish best practice processes and analytics to inform communications strategy and reporting; design and implement measurement frameworks to assess the impact of communication strategies and report on key metrics to demonstrate progress and value

• Provide leadership and coaching to the communications team; foster an innovative, collaborative, and high-performance culture

• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications:

• Minimum ten years of recent experience, including working as a trusted communications advisor in a similar role, preferably within a big tech environment

• Bachelor's degree from an accredited college or university; MBA preferred

• Strong strategic thinking and problem-solving skills, with a track record of successful communications strategy execution

• Exceptional writing and editing skills, as well as experience with AI tools for communications and emerging media types and formats

• Superior relationship manager, collaborator and idea builder who can lead and excel in a fast-paced environment; experience in executive coaching, including the ability to present concepts confidently and persuasively

• Progressive experience managing teams

• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

Follow this link to obtain salary ranges by city outside of CA:

https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=1627_9_25

California Salary Range: $155000 - $311000

KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.



## Qualifications
* Proven track record in Revenue Operations, Marketing Operations, or Sales Operations with deep understanding of GTM funnels
* Hands-on expertise with AI models (Claude, GPT, LLM APIs) and automation platforms (AirOps, Zapier, LangChain, Make, etc.)
* Advanced skills with HubSpot CRM, and experience integrating with tools like Clay, Apollo, Instantly
* Highly analytical and numbers-driven with strong skills in data interpretation, forecasting, funnel analysis, and ROI measurement
* Familiarity with SQL, Python, or BI tools for data analytics is a strong plus
* Strong communication skills - able to translate technical AI workflows into business outcomes
* Curiosity and growth mindset - constantly experimenting with new AI tools and tactics to improve revenue outcomes
## Responsibilities
* Establishing this role ensures we build the infrastructure and insights needed to support sustainable, predictable growth
* The Head of Revenue Operations and Marketing Automation will establish the systems, processes, and data-driven insights that optimize customer journey and maximize revenue performance
* By enabling cross-functional collaboration and accountability, this role will serve as a strategic partner to leadership and a catalyst for growth
* Develop AI-powered applications to analyze historical sales and marketing data, uncover patterns, and inform GTM strategy
* Integrate Claude, GPT, and other LLMs with HubSpot and related CRM tools to supercharge data-driven prospecting, personalization, and lead qualification
* Design and optimize automated workflows for lead nurturing, follow-ups, and lifecycle engagement across tools like Clay, Apollo, Instantly, and AirOps
* Enhance engagement tracking, funnel visibility, and real-time reporting to improve campaign performance insights
* Manage and evolve the marketing and sales tech stack, ensuring scalability, interoperability, and compliance
* Create internal playbooks, documentation, and enablement for AI adoption across Sales and Marketing
* Test and validate new RevOps features and workflows to ensure reliability and measurable impact
* Collaborate with Sales, Marketing, and Product teams to align tools and processes with GTM priorities

## Full Description
PriceEasy is a rapidly growing SaaS company transforming the way our clients manage pricing, location intelligence, and in-store profitability. Our cutting-edge platform delivers AI-powered insights to help retailers make smarter decisions, increase margins, and streamline operations.

As we continue to scale rapidly, we are seeking a Head of Revenue Operations and Marketing Automation. The complexity of our go-to-market systems and processes requires a centralized function to drive efficiency, alignment, and performance. Establishing this role ensures we build the infrastructure and insights needed to support sustainable, predictable growth.

Role Overview

The Head of Revenue Operations and Marketing Automation will establish the systems, processes, and data-driven insights that optimize customer journey and maximize revenue performance. By enabling cross-functional collaboration and accountability, this role will serve as a strategic partner to leadership and a catalyst for growth.

Key Responsibilities

• Develop AI-powered applications to analyze historical sales and marketing data, uncover patterns, and inform GTM strategy.

• Integrate Claude, GPT, and other LLMs with HubSpot and related CRM tools to supercharge data-driven prospecting, personalization, and lead qualification.

• Design and optimize automated workflows for lead nurturing, follow-ups, and lifecycle engagement across tools like Clay, Apollo, Instantly, and AirOps.

• Enhance engagement tracking, funnel visibility, and real-time reporting to improve campaign performance insights.

• Manage and evolve the marketing and sales tech stack, ensuring scalability, interoperability, and compliance.

• Create internal playbooks, documentation, and enablement for AI adoption across Sales and Marketing.

• Test and validate new RevOps features and workflows to ensure reliability and measurable impact.

• Collaborate with Sales, Marketing, and Product teams to align tools and processes with GTM priorities.

Qualifications

• Proven track record in Revenue Operations, Marketing Operations, or Sales Operations with deep understanding of GTM funnels.

• Hands-on expertise with AI models (Claude, GPT, LLM APIs) and automation platforms (AirOps, Zapier, LangChain, Make, etc.).

• Advanced skills with HubSpot CRM, and experience integrating with tools like Clay, Apollo, Instantly.

• Highly analytical and numbers-driven with strong skills in data interpretation, forecasting, funnel analysis, and ROI measurement.

• Familiarity with SQL, Python, or BI tools for data analytics is a strong plus.

• Strong communication skills - able to translate technical AI workflows into business outcomes.

• Curiosity and growth mindset - constantly experimenting with new AI tools and tactics to improve revenue outcomes.

Equal Opportunity Employer: We celebrate diversity and are committed to creating an inclusive environment for all employees.



## Qualifications
* Excellent communication and interpersonal skills
* Effective presentation and demonstration skill and ability to translate business and technical concepts for all types of audiences including senior executives
* 5+ years of experience in technical pre-sales or post-sales roles (sales engineer, solutions engineer, customer engineer, solutions architect, customer success engineer) working directly with customers at every layer of their organization (C Suite to data scientists and developers) and acting as a trusted advisor for the users and buyers
* Demonstrated creativity in problem solving and thought leadership in Data, AI, Security, Cloud and related technologies
* Hands-on experience with Cloud, Data Platform or AI platform technologies
* Experience in delivering live prototypes using platform products
* Strong organizational skills and ability to manage multiple customer needs simultaneously
* Willingness to up level the knowledge and skills through mentorship, reading, training and shadowing
## Responsibilities
* You'll work with our highly strategic customers guiding them through ideation, discovery, presentation, demonstrations, architecture design, collaborating with C-level to technical users, and providing RFI/RFP responses
* You will collaborate closely with Sales, Forward Deployed Engineering, Customer Experience, and Product teams
* Over time, you will build a team of solutions/sales engineers to drive business results
* Provide technical expertise, discover pain points, and showcase the Rhino value proposition through presentations, meetings, and written artifacts in coordination with the Rhino sales and product teams
* Partner with business stakeholders to understand the customer needs, guide their AI and data strategy, and identify high value use cases and applications of Federated Computing
* Deliver pre-built demos and build awesome custom demos and reference architectures aligned with customers’ use case and integration needs
* Create customer specific documents, presentations, guides, and blogs demonstrating capabilities of the Rhino platform
* Scope and execute pre-sales pilots and nurture strong customer relationships during the product evaluation and review process
* Demonstrate the value of product capabilities and recommend workflow and architectural patterns for implementation
* Provide feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on improving the product experience
* Build and maintain relationships with technical stakeholders within customer organizations
* Take full ownership of problems from start to finish, driving success for both the team and our customers

## Full Description
About Rhino

Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data through federated computing. The Rhino Federated Computing Platform (Rhino FCP) serves as the ‘data collaboration tech stack’, extending from providing computing resources to data preparation & discoverability, to model development & monitoring - all in a secure, privacy preserving environment. To do this, Rhino FCP offers flexible architecture (multi-cloud and on-prem hardware), end-to-end data management workflows (multimodal data, schema definition, harmonization, and visualization), privacy enhancing technologies (e.g., differential privacy), and allows for the secure deployment of custom code & 3rd party applications via persistent data pipelines. Rhino is trusted by >60 leading organizations worldwide - including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies - and is leveraging this foundation for financial services, ecommerce, and beyond.

The company is headquartered in Boston, with an R&D center in Tel Aviv.

About the Role

We are seeking a technically proficient, business-minded Solutions/Sales Engineering Lead to help push the frontier of Federated Computing AI with our customers. You'll work with our highly strategic customers guiding them through ideation, discovery, presentation, demonstrations, architecture design, collaborating with C-level to technical users, and providing RFI/RFP responses. You will collaborate closely with Sales, Forward Deployed Engineering, Customer Experience, and Product teams. Over time, you will build a team of solutions/sales engineers to drive business results.

Key Responsibilities

• Provide technical expertise, discover pain points, and showcase the Rhino value proposition through presentations, meetings, and written artifacts in coordination with the Rhino sales and product teams.

• Partner with business stakeholders to understand the customer needs, guide their AI and data strategy, and identify high value use cases and applications of Federated Computing.

• Deliver pre-built demos and build awesome custom demos and reference architectures aligned with customers’ use case and integration needs.

• Create customer specific documents, presentations, guides, and blogs demonstrating capabilities of the Rhino platform.

• Scope and execute pre-sales pilots and nurture strong customer relationships during the product evaluation and review process.

• Demonstrate the value of product capabilities and recommend workflow and architectural patterns for implementation.

• Provide feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on improving the product experience.

• Build and maintain relationships with technical stakeholders within customer organizations.

• Take full ownership of problems from start to finish, driving success for both the team and our customers.

Required Skills

• Excellent communication and interpersonal skills. Effective presentation and demonstration skill and ability to translate business and technical concepts for all types of audiences including senior executives.

• 5+ years of experience in technical pre-sales or post-sales roles (sales engineer, solutions engineer, customer engineer, solutions architect, customer success engineer) working directly with customers at every layer of their organization (C Suite to data scientists and developers) and acting as a trusted advisor for the users and buyers.

• Demonstrated creativity in problem solving and thought leadership in Data, AI, Security, Cloud and related technologies.

• Hands-on experience with Cloud, Data Platform or AI platform technologies.

• Experience in delivering live prototypes using platform products.

• Strong organizational skills and ability to manage multiple customer needs simultaneously.

• Willingness to up level the knowledge and skills through mentorship, reading, training and shadowing.

Preferred Skills

• Deep AI Workflow Knowledge - Modeling, Instruction Tuning, Fine tuning, and Inference.

• Data Engineering stack.

• Familiarity with Kubernetes and Dockers.

• Healthcare, Life Sciences, or Financial Services domain experience.

• Degree in a quantitative field, with computer science or engineering.

Location

Boston.




## Full Description
Role SummaryWe are seeking a Senior Al Engineer-a senior Al professional with people leadership experience to build and operate in-house Al microservices that power core business workflows (e.g., OCR/intelligent document processing, NLP, computer vision, LLM services). You will lead a small, high-impact team to deliver scalable, stable, and cost-efficient services from prototype to production, with clear SLAs and observability.What You'll Do (Key Responsibilities)Own the services roadmap for OCR/IDP, NLP/CV, embeddings, and LLM microservices; translate business problems into well-designed APIs.Lead and grow a delivery squad (3-8 engineers/DS/ML) with agile rituals, clear goals, and hands-on guidance.Design & implement microservices (Python/FastAPI preferred) with 12-factor practices, strong interfaces, and backward-compatible versioning.Productionize models (selection, fine-tuning, evaluation) using ONNX Runtime/TensorRT, Triton Inference Server, vLLM/Helm/Serving stacks as appropriate.Establish MLOps & LLMOps: data/versioning (DVC/LakeFS), CI/CD (GitHub Actions/Azure DevOps), feature store, model registry, canary/blue-green, A/B and shadow testing.Implement observability and SRE: SLOS/SLAs, tracing/metrics/logs (OpenTelemetry, Prometheus, Grafana), error budgets, and automated rollback.Optimize performance & cost throughput/latency benchmarking, autoscaling, GPU/CPU right-sizing, caching, batching, prompt/tooling cost controls. Must-Have QualificationsMaster's degree in AI/ML, Computer Science, or related field.4-6 years total software/ML engineering; 3+ years building production AI services.Team leadership experience (direct people management or tech-lead for 3-8 engineers).Track record delivering 1-2 large, end-to-end AI projects (from data to deployed service) with real usage.Strong in Python and microservice frameworks (FastAPI/Flask), Docker, Kubernetes, and Git.Experience with message/streaming (Kafka/RabbitMQ), Redis, PostgreSQL, and vector databases (e.g., FAISS, Milvus, pgvector).Proficient with PyTorch / Transformers, OpenCV, PaddleOCR/Tesseract; familiarity with LLMs and prompt/guardrail techniques.Solid grasp of testing (unit/integration), CI/CD, and inference optimization (ONNX/TensorRT/quantization/batching).Cloud experience (preferably Azure; AWS/GCP also fine) and infrastructure-as-code (Terraform/Bicep).Arabic Language NLP Experience.Nice-to-HaveExperience with RAG architectures, retrieval evaluation, and safety/guardrails.Knowledge of event-driven architectures, API gateways, and service mesh (e.g., Istio/Linkerd).Familiarity with data engineering (Airflow/Prefect, Delta/Lakehouse) and feature stores (Feast).Experience with cost monitoring (FinOps) and SLO-driven governance.Tech Stack (Indicative)Languages/Frameworks: Python (FastAPI), Node.js/.NET (nice-to-have)ML/AI: PyTorch, Hugging Face, OpenCV, Tesseract/PaddleOCR, ONNX Runtime, TensorRT, Triton Inference Server, vLLMData/Messaging: Kafka/RabbitMQ, Redis, PostgreSQL, Vector DB (Milvus/FAISS/pgvector)MLOps/DevOps: GitHub Actions/Azure DevOps, Docker, Kubernetes, Helm, DVC, MLflow/Weights & Biases, OpenTelemetry, Prometheus, GrafanaCloud: Azure (AKS, ACR, Key Vault, Event Hubs, Cosmos/PG), or AWS/GCP equivalentsIs there anything else you'd like me to extract from an image or a different section of this job description?�

