Senior Engineering Manager

New

Senior Engineering Manager - Risk

Our mission is to build the intelligent, automated systems and operational tools...

Location

United States; Canada , San Francisco; New York; Portland

Salary:

239000.00 - 298800.00 USD / Year

Mercury

Expiration Date

Until further notice

Requirements

9+ years of software development experience
3–5+ years of engineering management in a high-scale tech environment
AI/ML expertise—you’ve built and launched applied AI products (from LLMs to traditional ML models), shipping them from 0→1 and scaling 1→10 in production environments
Proven success building large-scale backend distributed systems, ideally involving integrations and decision automation
Experience with or curiosity about KYC, AML, risk, or compliance systems in financial services or fintech
A track record of raising the bar for quality and reliability, balancing shipping speed with technical excellence
Strong communication and leadership skills—you can inspire engineers, partner across functions, and adapt your management style to the moment
The ability to hire, retain, and develop exceptional technical talent
A pragmatic builder’s mindset: you believe beautiful systems are those that work, adapt, and last

Job Responsibility

Lead teams (4–8 engineers each) responsible for account onboarding, KYC/KYB, AML, and fraud detection decisioning and workflows, and operational tooling
Apply AI/ML—from traditional models to large language models—to unlock faster, real-time bank account application approvals. This work sits on the critical business path, directly driving efficiency and revenue growth
Partner with Product, Risk, and Data teams to design and deliver scalable systems that balance user experience with compliance rigor
Shape the next generation of our KYC and risk platforms—reliable, resilient, and easy to extend as regulations and business needs evolve
Create a strong culture of operational excellence, with measurable improvements to uptime, accuracy, and system quality
Build, mentor, and grow engineering talent
help managers and senior engineers level up technically and organizationally
Drive clarity amid complexity: translating between regulatory nuance and technical execution
Foster collaboration across teams to align on priorities, simplify interfaces, and make the whole system more maintainable and elegant

What we offer

base salary
equity
benefits

Fulltime

Senior Engineer Manager - AI/ML

Senior Engineer Manager role in AI/ML at Hewlett Packard Enterprise, focusing on...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline
7-15 years' experience including 5 or more years of people management experience
Advanced Degree (Master's or Ph.D.) strongly preferred
Strong problem-solving and analytical skills
Excellent communication and presentation skills
Proven ability to manage multiple projects and priorities in a fast-paced environment
Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus
Strong understanding of data privacy, security, and ethical considerations in AI and machine learning
Strong technical expertise in AI and machine learning algorithms, models, and tools
Proficiency in programming languages such as Python or R

Job Responsibility

Develops and programs integrated software algorithms to structure, analyze and leverage structured and unstructured data
Uses machine learning and statistical modeling techniques to improve product/system performance
Formulates descriptive, diagnostic, predictive and prescriptive insights/algorithms
Applies, optimizes and scales deep learning technologies and algorithms
Documents procedures for installation and maintenance
Contributes to translating customer requirements into AI/ML products and solutions
Develops and drives the organization's AI and machine learning strategy
Leads and manages a team of AI and machine learning professionals
Oversees complex AI and machine learning projects from conception to deployment
Provides technical leadership and guidance to the team

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive benefits suite supporting physical, financial and emotional wellbeing

Fulltime

Senior Engineering Manager - AI

We are seeking a Senior Engineering Manager (Level 5) to lead a high-performing ...

Location

India , Chennai

Salary:

Not provided

Arcadia

Expiration Date

Until further notice

Requirements

15+ years of professional experience in software engineering
At least 4+ years in engineering leadership roles
Strong technical background in AI/ML systems, large-scale data pipelines, and cloud-native platforms
Hands-on experience with Python (preferred), modern ML frameworks (PyTorch/TensorFlow), and cloud services (AWS)
Proven success in managing teams of 4–6 engineers, scaling processes, and building diverse, high-performance teams
Strong architectural design and system-thinking abilities
Excellent communication skills with ability to influence cross-functional stakeholders
Passion for sustainability, decarbonization, and using technology to create positive climate impact
Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more

Job Responsibility

Lead and grow a team of engineers focused on building AI-driven and data-intensive systems for the Arcadia platform
Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
Balance management responsibilities (hiring, coaching, performance reviews, career growth) with technical leadership (architecture, system design, technical strategy)
Drive end-to-end delivery of complex projects in partnership with Product, Data, and Infrastructure teams
Guide the adoption of modern AI/ML technologies, ensuring practical, scalable use in production
Foster a culture of high performance, ownership, and technical excellence
Establish engineering best practices in testing, observability, reliability, and CI/CD
Partner with leadership to define roadmaps, set priorities, and align execution with Arcadia’s strategic goals
Represent AI across the company, articulating technical trade-offs and championing innovation

What we offer

Competitive compensation and employee stock options
Hybrid/remote-first working model (India-based role, with global collaboration)
Flexible leave policy
Comprehensive medical insurance (self + family members)
Annual performance cycle + quarterly recognition awards
A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation

Fulltime

Senior Machine Learning Engineering Manager

We are looking for a senior ML engineering manager to join the Teamwork Graph te...

Location

United States , Mountain View; San Francisco; Seattle

Salary:

190300.00 - 305700.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience managing engineering teams running core AI/ML services at scale
Experience building and scaling business applications and systems using large amounts of data
Ability to communicate and explain complex technical concepts to diverse audiences, craft a compelling story
Build generalizable platforms with a keen eye on empowering applications in product
Solid understanding of foundational ML concepts and Graphs
Experience working with LLM based applications or other ML powered products

Job Responsibility

Process and structure large amounts of graph data to power applications across Atlassian
Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders
Creative use of generative AI and ML to process, structure, and reason over large amounts of data to power intelligent products

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Machine Learning Engineering Manager

The GenAI foundation and quality team works cross-functionally, providing genera...

Location

Australia , Sydney

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)
5+ years of experience managing machine learning engineering teams running core services at scale
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring
Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models
Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders

What we offer

Health and wellbeing resources
Paid volunteer days
Wide range of perks and benefits to support family and personal goals

Fulltime

Senior Machine Learning Engineering Manager

Atlassian is looking for a Senior Machine Learning Engineering Manager to join o...

Location

United States , Seattle; Austin; New York; Washington DC

Salary:

190300.00 - 305600.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)
5+ years of experience managing machine learning engineering teams running core services at scale
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring
Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models
Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

AI/ML Engineer - Senior Analyst

The AI/ML Engineer - Senior Analyst is a critical role with the objective of exp...

Location

Canada , Mississauga

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

4+ years’ experience in AI/ML model development and deployment projects
Demonstrable experience with Google Cloud Platform (GCP), IBM Watson Services, or any well-known cloud solution
Extensive experience in machine learning use case design, testing and deployment
Strong statistical foundation, with in-depth knowledge of supervised, unsupervised, and semi-supervised machine learning models, with a particular focus on NLP/NLU
Demonstrable experience in working with Generative AI models, with a deep understanding of their capabilities, prompting strategies, model performance, and inherent limitations
Extensive experience testing and using APIs
Possess an innovative, forward-looking, and imaginative mindset to continually reach for new horizons in Audit Innovation
Demonstrable experience working with stakeholders and exceeding their expectations
Take responsibility and accountability for execution and delivery
Positive attitude and a change-driven and change-oriented outlook

Job Responsibility

Design, test, deploy, and maintain AI/ML use cases, and integrate with the relevant audit applications
Prompt engineering to elicit the desired outputs from generative AI models, ensuring clarity, accuracy, effectiveness, and contextual relevance
Perform analytics on AI/ML capability usage to understand trends, patterns, and pain points, and implement a sustainable feedback loop to ensure positive and continually improving user experiences
Explain results in a methodical, appealing, and easy to interpret manner
Collaborate with teams on updates, enhancements, sprint releases, and other procedural requirements
Prepare, manage, and maintain Model Risk Management (MRM) documentation on model performance and accuracy, and engage with the MRM team on adhering to and fulfilling model requirements
Apply strong project management skills to develop project plans, timelines, milestones, and demonstrate progress toward objectives
Utilize excellent communication skills to ideate, educate, and present internally, often at senior levels (across functions)
expected to communicate with external parties

Fulltime

Senior Machine Learning Engineering Manager

The GenAI foundation and quality team sits within the Search and AI Conversation...

Location

United States , Seattle; Mountain View

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)
5+ years of experience managing machine learning engineering teams running core services at scale
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring
Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models
Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders

What we offer

Health and wellbeing resources
paid volunteer days
various perks and benefits to support you, your family, and engage with your local community

Senior Engineering Manager - AI/ML

Hewlett Packard Enterprise

Location:
India, Bangalore

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
October 24, 2025

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