Engineering Manager, GenAI Job at Scale (San Francisco)

Genai Engineering Manager

We're seeking a technically versatile GenAI Engineering Manager who can lead peo...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Proven experience as an Engineering Lead, Software Engineering Manager, or similar role
Strong expertise in multiple programming languages (preferably Python, Go, and TypeScript), frameworks, and tools
Have deployed LLM systems to production and understand evaluation, guard-railing, and monitoring
Proven experience with distributed systems, event-driven architectures, container-based micro-services, distributed logs, SQL and NoSQL databases, and DevSecOps
Experience working in a product focused team as opposed to a project focused team is beneficial

Job Responsibility

Lead GenAI application development, focusing on prompt engineering, RAG, and agentic workflows
Architect and deliver end-to-end LLM solutions–from experimentation to production
Design evaluation frameworks to benchmark and test LLM performance, safety, and behaviour
Build integration layers connecting LLMs to APIs, middleware, and enterprise systems
Collaborate across teams to drive adoption of modern engineering practices and GenAI tooling

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends

Fulltime

Forward Deployed Engineering Manager, GenAI Applications

At Scale AI, we are not just building AI tools. We are pioneering the next era o...

Location

Germany; United Kingdom , Berlin; London

Salary:

Not provided

Scale

Expiration Date

Until further notice

Requirements

3–5+ years of engineering management experience, ideally in high-growth tech environments with direct customer engagement
A strong engineering background and a track record of leading technical teams to deliver impactful products
Hands-on experience building or deploying AI-powered systems, with an understanding of how model behavior shapes user experience
A deep interest in Generative AI and a belief in its potential to transform enterprise workflows
Proven ability to make fast, sound decisions in high-pressure or ambiguous situations
The leadership presence to earn trust and respect from engineers, peers, and senior stakeholders
Strategic thinking with a clear ability to turn business goals into actionable engineering plans
Operational rigor in planning, prioritizing, and delivering complex software systems at scale
Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps, and scalable platform architecture
Strong communication and collaboration skills, with the ability to align cross-functional teams toward common goals

Job Responsibility

Lead, mentor, and grow a high-performing team of forward deployed engineers supporting enterprise GenAI initiatives
Set clear technical direction and foster a culture of ownership, speed, and trust
Work hands-on with customers to deeply understand and solve complex business and technical challenges
Scope, deliver, and guide the adoption of solutions by embedding directly with customer teams
Make smart tradeoffs between speed, scope, reusability, and bespoke solutions
Drive technical decisions and help the team navigate system integrations and architecture choices
Shape the product roadmap by translating customer needs into scalable platform improvements
Build internal tooling and shared capabilities to accelerate delivery across diverse use cases
Collaborate across engineering, product, and customer teams to streamline execution and reduce friction
Ensure fast, high-quality delivery of features, experiments, and customer launches

Engineering Manager, GenAI Platform

Our generative AI-powered products are bringing joy back to the practice of medi...

Location

United States , San Francisco

Salary:

220000.00 - 270000.00 USD / Year

Abridge

Expiration Date

Until further notice

Requirements

5+ years as a software engineer
2+ years managing software engineering teams
Experience in building and leading teams in the AI Infrastructure domain - LLM workflows, agentic systems, retrieval and evaluation
Comfortable giving constructive feedback on technical designs and code reviews
Skilled in building secure, compliant systems in major cloud platforms (GCP preferred, AWS experience welcome)
Familiar with containers, databases, and modern frontend frameworks
Skilled at hiring and mentorship, with a track record of helping engineers grow their skills and careers
Excited about being hands-on in a fast-moving, productive, and supportive environment
Has thrived in a fast-growing startup, knows how to operate in that environment

Job Responsibility

Recruit and mentor engineers with backgrounds in LLM-driven workflows and Agentic systems
Provide regular feedback
create opportunities for career growth
and foster a culture of collaboration and excellence
Work closely with ML/AI Research, Inference, Data, and Product teams to plan, execute, and support multiple projects simultaneously
responsible for the engineering process in the team and the output of the team
Help set business context for the team and apply your knowledge of business and software engineering to guide architectural discussions
anticipate and resolve technical challenges
and advocate for technology projects
Set a high standard for your team including software quality

What we offer

Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families
Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA
Paid Parental Leave: Generous paid parental leave for all full-time employees
Family Forming Benefits: Resources and financial support to help you build your family
401(k) Matching: Contribution matching to help invest in your future
Personal Device Allowance: Tax free funds for personal device usage
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits
Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more
Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals

Fulltime

Director GenAI Engineering and Transformation Senior Manager

This role is for an innovative Director GenAI Engineering and Transformation Sen...

Location

United States , Tampa

Salary:

170000.00 - 300000.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Deep hands-on experience in engineering and executing enterprise solutions that scale effectively
Tean building, people management, and mentoring skills
Fluency in at least two programming languages, with a strong preference for Python and Java. Proficiency in Javascript/Typescript and Golang is also highly valued
Strong understanding of Language Models (LLMs), transformers, agentic frameworks, vector stores, and search algorithms
Experience with relevant frameworks such as Spring (AI, Boot, Core, etc.), N8N, Flask, LangChain, LangGraph, ADK, and MLFlow
Familiarity with one of the major cloud platforms including AWS, GCP, or Azure
Experience in building complex RAG applications
Experience in building AI Agent workflows using an AI orchestration platform such as LangGraph, Crew AI, Autogen or ADK
Proficiency in database technologies, such as Oracle, Postgres, or MongoDB
Experience with messaging and integration platforms

Job Responsibility

Drive the adoption of Large Language Models (LLMs) and agentic flows, focusing on process efficiencies, automation, simplification, and risk reduction across enterprise business solutions
Contribute to the technical direction of products and services, instill engineering best practices
Collaborate with various technology teams to push the adoption of Generative AI technologies and agentic flows across enterprise-wide applications and processes
Develop partnerships with third-party providers for validating and adopting best-of-breed solutions
Contribute significantly to both engineering and research initiatives within the Generative AI domain
Adopt a product-focused approach, ensuring the development of robust, scalable, and user-friendly solutions
Thrive in a fast-paced environment by continuously testing, learning, and tackling cutting-edge problems
Actively engage in pair programming, promote lean methodologies, and streamline processes by removing unnecessary bureaucracy
Prioritize rapid delivery and iterative development, demonstrating adaptability and a willingness to pivot rather than pursuing a perfect upfront solution
Develop foundational components and mature technology capabilities in Artificial Intelligence (AI) and Large Language Models (LLMs)

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Principal Software Engineering Manager - Data Science & Engineering

The MSRC Data Science team is responsible in building data pipelines, data minin...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Leads team on the disciplined use of, and improving artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC)
Guides team on proactively taking responsibility for the content of their AI-generated requirements, design documents, code, and other assets, and assisting other members of the team to do the same
Leads team on incorporating Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets
Coaches team on applying SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI
Leads team on experimenting with AI tools and practices to improve their own capabilities, and providing recommendations on how to adopt them to others
Reviews debugging tools, tests, logs, telemetry, and other methods, and acts as an expert for others to proactively verify assumptions while developing code before issues occur across products in production
Guides team to perform machine learning/data extraction, transformation, and loading (ETL) pipelines (e.g., data collection, cleaning) based on data prepared
Guides the architecture of scalable pipelines and datasets
Influences the direction of the team
Begins to anticipate potential data pipeline issues and provides solutions

Fulltime

Engineering Manager in Core Product Engineering

Joining our team as an Engineering Manager places you at the forefront of advanc...

Location

Denmark , Copenhagen

Salary:

Not provided

Pleo

Expiration Date

Until further notice

Requirements

Have a passion for people management
Work to see your team and individuals growing and shipping great software
Like to work with cross-functional teams and other stakeholders to align engineering functions with product & business direction and goals
Think like a technologist in the core and optimize for both customers and the business
Enjoy design and optimization of teams and processes to maximize their efficiency
Comfortable stepping into technical discussions or taking important stakeholder meetings to remove roadblocks
Strong communicator, with both technical and commercial stakeholders
Technologist at heart

Job Responsibility

Work closely with the Product Manager and set a vision and direction for the team or group of product teams
Directly manage Engineers (and Tech Leads) and oversee a group of Engineers
Drive a customer-centric & solution-oriented mindset
Continuously improve the environment and processes for how we build our product
Align technology direction within your area, with other areas as well as with the overall technology direction of the company
Represent engineering in key initiatives and projects within the department or across the company and ensure they get delivered
Design the organization, and objectives and hold a high standard in people, delivery, and technology
Foster the environment in which engineers perform at their best and grow both as individuals and as a team
Support two teams of about 5 engineers each (Backend Core team and GenAI Core team)

What we offer

Your own Pleo card (no more out-of-pocket spending!)
Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office
Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis
25 days of holiday + your public holidays
Option to purchase 5 additional days of holiday through a salary sacrifice
Access to free mental health and well-being support via MyndUp
Paid parental leave

Fulltime

Program Manager, Engineering

The mission of the Uber Global Scaled Solutions (GSS) team is to transform Uber'...

Location

India , Bangalore, India; Hyderabad, India

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Undergraduate degree in computer engineering or other technical fields
Demonstrated ability to automate and optimise operations tasks using GenAI and other tech
Technically savvy and able to ramp up on new technologies quickly
Excellent written and verbal communication skills, with the ability to communicate effectively with both technical and non-technical individuals
Experience with process design and optimization

Job Responsibility

Work closely with Uber operations program managers to automate tasks using GenAI and other technologies
Manage a team of EXTs - operations and tech - to deliver automation solutions and platforms
Manage engagements with multiple stakeholders (regional teams, vendors, product, engineering) and ensure delivery of the highest quality within the agreed-upon timelines
Collaborate with engineering and product stakeholders to identify areas of synergies
Report the status of programs to our stakeholders, senior management, and cross-functional teams in a clear and concise manner
Manage timelines, deadlines, feature sets, risks, change requests, releases, and track project budget and financial metrics

Fulltime

Engineering Manager, Shopping Ranking & Personalization

The Shopping Ranking and Personalization team sits at the center of the Uber Eat...

Location

United States , San Francisco; Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

At least 7 years of experience managing software engineering teams
At least 15 years of experience in software engineering
Experience leading teams responsible for complex, distributed, production-grade systems
Strong technical fluency in machine learning concepts and practical familiarity with ranking systems, recommendation engines, or ML-powered personalization at scale
Track record of building and evolving scalable platforms, services, and architectures that enable extensibility and reuse by other teams
Experience hiring, developing, and retaining strong engineering talent while building high-performing teams
Experience leading teams that own personalization, ranking, recommendations, relevance, merchandising systems, or decisioning platforms
Experience bringing ML models into large-scale production systems, including model serving, experimentation, monitoring, and iteration loops
Familiarity with modern approaches such as deep learning, embedding-based retrieval and ranking, and GenAI-driven personalization or recommendation experiences
Experience building platforms that span multiple user journeys or product surfaces rather than one isolated feature area

Job Responsibility

Lead and grow a team of engineers responsible for personalization and ranking capabilities across the shopping journey on the Storefront, Cart, and Checkout surfaces
Drive execution against high-stakes, highly visible business goals and engineering priorities, ensuring the team delivers reliable, scalable, and measurable impact
Own the technical and organizational strategy for the ranking platform, including the services and APIs that generate, orchestrate, and serve ranking decisions across multiple surfaces and feature areas
Partner closely with Product, Design, Data Science, MLE, and partner engineering teams to define and deliver experiences across various shopping features
Operationalize modern ML capabilities into production systems, helping bridge experimentation and research into robust product experiences
Build the platform and architectural foundations that allow other teams to extend, compose with, and integrate into ranking and personalization surfaces in a scalable and maintainable way
Establish strong engineering execution practices across roadmap planning, technical design, prioritization, delivery, operational excellence, and incident management
Develop engineers and technical leaders on the team through coaching, feedback, and clear growth opportunities

What we offer

Bonus program
Equity award
401(k) plan
Various benefits

Fulltime

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Engineering Manager, GenAI

Job Description

Job Responsibility

Requirements

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