Strategic Projects Lead, Generative AI Job at Scale (San Francisco)

Strategic Projects Lead, Generative AI

Location

India

Salary:

Not provided

Scale

Expiration Date

Until further notice

Requirements

Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python)
2+ years of experience leading a team, developing product or operational processes, or as a SWE
Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus)
Entrepreneurial experience and mindset - you are excited about building things from scratch

Job Responsibility

Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market)
Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives
Own the execution of our data labeling operations for strategic projects
Give regular progress updates to Scale's executive team
Work on some of the most impactful problems at the company

Strategic Projects Lead (Coding), Generative AI

Scale’s Generative AI business unit is currently seeing historic levels of growt...

Location

United States , San Francisco; New York

Salary:

180600.00 - 225750.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

A degree in Machine Learning Engineering, Computer Science, or Software Engineering
Ability to do data analytics using SQL, Python
High proficiency in understanding Software Engineering processes
3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE
Strong problem-solving capabilities in technical environments
Entrepreneurial experience and mindset

Job Responsibility

Serve as the full owner of our most visible and high impact customer pipelines
Understand customer requirements and design data taxonomy best suited to improving model performance
Build out pipeline infrastructure to ensure quality and efficiency
Train, coach, and manage dynamic and global teams
Build analytics to make data-driven decisions
Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market)
Give regular progress updates to Scale’s executive team

What we offer

Comprehensive health, dental and vision coverage
Retirement benefits
A learning and development stipend
Generous PTO
Equity grant
Commuter stipend

Fulltime

Lead Generative AI Engineer Manager

We are seeking a highly skilled Lead GenAI Engineer Manager to join the Citi Inn...

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years' experience in the software industry, with proven success in a senior position such as Principal Engineer or Architect
3+ years' experience serving as a people manager
Highly experienced in delivering complex technical solutions to production, preferably within the Python and AI/ML ecosystem
Proficiency in programming languages such as Python
Passion for and proven hands-on experience integrating with AI/ML technologies
Experience with cloud architectures and public cloud offerings
A strong and diverse technical background, with the ability to quickly learn new technologies and influence highly skilled engineering teams
Excellent communication, leadership, and organizational abilities
Excellent analytical and problem-solving skills with the ability to think strategically
Experience in the financial industry is a major advantage

Job Responsibility

Lead the end-to-end development of highly complex AI solutions, infrastructure, and architecture
Lead and guide a team of engineers and data scientists, reviewing designs and code to uphold the highest levels of engineering standards
Translate ambiguous product or business problems into clear technical direction, defining success metrics for engineering and data science teams
Design robust model architectures, retrieval strategies, prompting/orchestration layers, and evaluation frameworks that meet product, reliability, and scalability requirements
Engage with data-science, technical, and business stakeholders to define and architect solutions for key use-cases across our lines of business
Actively contribute to software development, both as a hands-on coder and as a reviewer
Build and maintain core Python-based Generative AI components, including RAG pipelines, model wrappers, orchestration logic, and data loaders using FastAPI, ADK, and internal libraries
Ensure robust error handling, observability, and test coverage across all codebases
Manage executive stakeholder relationships in technology, acting as a partner and trusted advisor
Manage multiple concurrent initiatives and projects of varying sizes and complexity

Fulltime

GenAI Strategic Projects Lead, Public Sector

Scale AI’s Public Sector team is growing in the Generative AI space, and we’re s...

Location

United States , Washington, DC

Salary:

138600.00 - 212100.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of experience in product development, data science, or operations
A history of successful project management and comfort in ambiguity
Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes
Technical aptitude to understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc

Job Responsibility

Develop, build, and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality outputs
Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently
Partner with subject matter experts in their fields to validate the quality of our data and to translate deep domain knowledge into scalable processes and measurable outcomes
Work closely with customers to understand their requirements and design data taxonomies that optimize model performance
Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance
Influence cross-org collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage
Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
additional benefits such as a commuter stipend

Fulltime

Sr. Applied AI Engineer, Generative AI Applications

HBS Foundry is a new initiative at Harvard Business School that helps founders b...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
A bachelor's degree in computer science, data science, or a related field is required
Strong proficiency in programming languages such as Python and Java
Experience with AI frameworks like TensorFlow and PyTorch
Strong analytical and logical thinking skills to tackle complex problems
Ability to work effectively with cross-functional teams
Familiarity with cloud platforms is often beneficial

Job Responsibility

Lead comprehensive applications/web development for highly complex projects
Deliver strategic and expert coding
focus on overarching development strategy for a large, complex, multi-faceted application
May manage a number of projects simultaneously
Design, develop, and deploy state-of-the-art generative AI models
Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents
Develop and train AI models: Create and train machine learning models and neural networks for tasks like data analysis, natural language processing, and computer vision
Implement and integrate AI: Write code to integrate AI functionality into existing software and ensure seamless deployment with other systems and APIs
Data preprocessing: Clean, prepare, and manage large datasets to be used for training and fine-tuning models
Optimize performance: Design and optimize machine learning algorithms for scalability and high performance and continuously monitor and test AI systems for improvement

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Sr. Digital Strategic Operations Manager - Strategic Projects

As the Sr. Digital Strategic Operations Manager, you will be the engine room of ...

Location

United States , Santa Clara

Salary:

138000.00 - 222000.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

10+ years of experience in Marketing, Marketing Operations, Program Management or a Strategic PMO, preferably in an enterprise software environment
Proficiency in budget management, ROI analysis, headcount planning, and financial modeling within a marketing context
Comprehensive understanding of SaaS business models, modern demand generation, and the complexities of global enterprise marketing
Proven capability to lead large-scale organizational transformations with a strong bias toward iterative processes
Ability to build deep relationships and influence senior leaders without direct authority
Comfortable driving accountability with senior leaders and cross-functional GTM teams
Absolute integrity and the ability to handle sensitive information regarding organizational changes, budgets, and performance

Job Responsibility

Define and scale AI-enabled capabilities and workflows, moving AI from 'experimentation' to 'standardized production.'
Lead high-priority transformation initiatives (e.g., M&A integrations, enterprise rollouts) with a focus on risk management and measurable outcomes
Partner with Finance to ensure disciplined capital allocation, managing budget pacing and vendor consolidation
Design and deliver the curriculum required to scale digital literacy and change adoption across the global marketing team
Orchestrate the operational transition for brand and system integrations during acquisitions, ensuring minimal business disruption
Implement standardized program management frameworks (Jira, Smartsheet) for major global initiatives
Proactively identify and mitigate risks across the project portfolio, providing executive visibility into blockers

Fulltime

Ai Lead Application Architecture - Vice President

We are seeking a highly experienced and technically proficient Sr Applied AI Eng...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15 years of relevant experience in leading Apps Development or systems design role
Extensive experience system analysis and in programming of software applications
Demonstrable exposure and practical experience with AI development
Knowledge of capital market is plus
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Bachelor’s degree/University degree or equivalent experience

Job Responsibility

Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot: Utilize AI-powered code generation tools (e.g., Devin, Copilot, Codex) to accelerate development, automate boilerplate code, suggest optimal implementations, and enforce architectural patterns. Leverage AI for design pattern identification and complex system architecture validation
Architect and optimize database interactions with Oracle, SQL, and MongoDB, ensuring high performance and data integrity: Employ AI to analyze database query performance, suggest advanced indexing strategies, optimize schema designs, and generate efficient SQL/NoSQL queries. AI-driven tools can also assist in predicting database load and recommending scaling solutions
Drive the adoption and continuous improvement of CI/CD pipelines to facilitate rapid and reliable software delivery: Integrate AI into CI/CD processes for intelligent test case generation, predictive failure analysis, automated code vulnerability scanning, and optimization of pipeline execution times based on historical data
Collaborate with cross-functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high-quality software:Use AI-powered communication and summarization tools (e.g., Claude) to streamline requirement gathering, document analysis, and stakeholder communication. AI can also assist in translating technical designs into accessible formats for various audiences
Mentor and provide technical guidance to junior and mid-level software engineers, fostering a culture of technical excellence and continuous learning: Leverage AI platforms for personalized learning paths, automated code feedback, and explanations of complex technical concepts. Encourage junior engineers to adopt AI-driven development practices
Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality:Continuously explore emerging AI tools and techniques (such as Anti Gravity for complex problem-solving) and assess their applicability to our development ecosystem
Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines: Utilize AI-powered code analysis tools to pre-scan code for potential bugs, security vulnerabilities, performance bottlenecks, and style deviations, allowing human reviewers to focus on higher-level logic and design
Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems: Implement AI-driven anomaly detection in monitoring systems, leverage AI for rapid log analysis and root cause identification, and automate incident response workflows
Contribute to the strategic planning and technical roadmap for our middleware platforms: Employ AI to analyze industry trends, forecast technology evolution, assess the impact of new features, and prioritize roadmap initiatives based on data-driven insights
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development: Utilize AI for data synthesis, predictive modeling for estimations, identification of potential IT risks, and accelerated model prototyping and validation

Fulltime

Head of Data Science - Generative AI

We are seeking an inspirational and strategic Head of Data Science to lead our G...

Location

Spain , Barcelona

Salary:

Not provided

N26

Expiration Date

Until further notice

Requirements

An advanced degree (Master's or PhD) in a quantitative discipline such as Computer Science, Data Science, or Mathematics/Statistics is highly preferred
Significant professional experience (8+ years) in the development, production, and scaling of ML/AI solutions
Proven leadership experience (5+ years) managing, mentoring, and scaling Data Science or AI/ML teams
Exceptional strategic thinking and a track record of defining and executing ambitious technical roadmaps
Mastery of common machine learning algorithms, deep learning principles, and generative AI architectures
Strong programming proficiency in Python and experience with generative AI frameworks, such as LangChain and LangGraph
Demonstrated ability to drive a team to write production-ready, high-quality code
Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders and executive leadership
Proven ability to continuously learn, challenge the status quo, and drive proactive applied research around the latest advances in generative AI and machine learning
English full professional proficiency

Job Responsibility

Architect and drive the end-to-end AI transformation across N26
Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function
Lead, mentor, and grow a diverse team of experienced AI experts
Provide strategic and architectural guidance on the delivery of robust and compliant generative AI solutions
Oversee cutting-edge AI projects end-to-end, driving best practices from applied research to scalable production deployment
Partner closely with Product Managers, Backend Engineering, Compliance, and Executive Leadership

What we offer

Accelerate your career growth by joining one of Europe's most talked about disruptors
Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation
Premium subscription on your personal N26 bank account
Subscriptions for friends and family members
Additional day of annual leave for each year of service
A high degree of autonomy and access to cutting edge technologies
A relocation package with visa support for those who need it

Fulltime

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Strategic Projects Lead, Generative AI

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