Engineering Manager, GenAI Job at Scale (San Francisco)

Genai product manager

Location

Japan , Tokyo

Salary:

15000000.00 - 25000000.00 JPY / Year

Randstad

Expiration Date

July 07, 2026

Requirements

5+ years of experience in product management, with a focus on AI or machine learning products
Proven track record of successfully launching and growing AI products
Deep understanding of the GenAI landscape and its applications
Experience working with engineering, design, and marketing teams
Excellent communication, presentation, and interpersonal skills
Strong analytical and problem-solving skills
Ability to thrive in a fast-paced, dynamic environment
Experience with Agile development methodologies
Bachelor's degree in computer science, engineering, or a related field
Fluent Japanese and English communication skills

Job Responsibility

Lead the development of cutting-edge GenAI products
Work in a collaborative, future-focused technology environment

What we offer

社会保険、年金
有給休暇、産休、育休、Sickleave
持ち株制度
土曜日　日曜日　祝日
賞与

Fulltime

AI Engineering Manager

AI Engineering Manager – Investment Management. Orbis are proudly working with a...

Location

United Kingdom , London

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Excellent hands-on Python experience with experience working with modern LLM/GenAI frameworks (e.g. LangChain, LangGraph, PyTorch) with deep expertise in AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers)
Excellent understanding of the Microsoft ecosystem including Azure, AI services, and the evolving roadmap shaping Microsoft’s cloud and AI solutions
Excellent proven experience working directly with cross-functional business stakeholders to understand challenges and translate into technical requirements
Strong experience of managing and/or leading teams of Software and Data Engineers

Job Responsibility

Leading or contributing to the design, build and delivery of AI-driven solutions across the firm, from prototype to production
Partnering with business stakeholders to refine opaque problems, identify AI/automation opportunities and shape technical requirements
Working with large volumes of unstructured “dark data” to extract insights, build semantic models and support new AI use cases
Driving or supporting modern engineering practices across Azure, Python, and the firm’s emerging AI ecosystem

Fulltime

Senior Machine Learning Engineering Manager, Gen AI

We're seeking a Senior Machine Learning Manager (M60) to lead a cross-functional...

Location

United States

Salary:

193500.00 - 303150.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years in ML, search, or backend engineering roles, with 3+ years leading teams
Strong track record of shipping ML-powered or LLM-integrated user-facing products
Experience with RAG systems (vector search, hybrid retrieval, LLM orchestration)
Deep experience in either modeling (e.g., LLMs, search, NLP) or engineering (e.g., backend infra, full-stack), with the ability to lead end-to-end
Deep understanding of LLM ecosystems (OpenAI, Claude, Mistral, OSS), orchestration frameworks (LangChain, LlamaIndex), and vector databases (Weaviate, Pinecone, FAISS, etc.)
Strong product intuition and ability to translate complex tech into valuable user features
Familiarity with GenAI evaluation methods: hallucination detection, groundedness scoring, and human-in-the-loop feedback loops
Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent practical experience

Job Responsibility

Lead the vision, design, and execution of LLM-powered AI products, leveraging advance AI modeling (e.g. SLM post-training/fine-tuning), RAG architectures and hybrid ranking system
Define system architecture across retrievers, rankers, orchestration layers, prompt templates, and feedback mechanisms
Work closely with product and design teams to ensure delightful, fast, and grounded user experiences
Build and manage a cross-disciplinary team including ML engineers, backend/frontend engineers, and applied scientists
Foster a culture of E2E ownership — empowering the team to move from prototype to production quickly and iteratively
Mentor individuals to grow in both technical depth and product acumen
Shape the technical roadmap and long-term strategy for GenAI search across Atlassian’s product suite
Partner with platform and infra teams to scale inference, evaluate performance, and integrate usage signals for continuous improvement
Champion data quality, grounding, and responsible AI practices in all deployed features

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

GenAI Engineer

We are seeking a GenAI Engineer for project-based engagements to develop and imp...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven experience in AI Agent development and implementation
Strong knowledge of autonomous workflows for enterprise systems (SAP, Salesforce, ServiceNOW, Oracle) API exposure and integration for GenAI
Hands-on experience with GenAI secure API integration and data handling
Understanding of fully autonomous AI Agents and associated risk management planning
Proficiency in Apigee API management and gateway services
Experience exposing APIs from enterprise applications

Job Responsibility

Design, integrate and deploy fully autonomous AI Agents with enterprise platforms (SAP, Salesforce, ServiceNOW, Oracle) via APIs
Expose and manage APIs from global applications through Google Apigee
Develop fully autonomous agentic workflows, from MCP API exposure of enterprise solutions, through compliance and security checks, and API integration of genAI for E2E automation
Include a risk-management and guardrailing approach for highest autonomy AgenticAI

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical subscription
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Research Engineer, GenAI

You will be part of Kiddom’s Data Science team, building the foundation of our s...

Location

United States , San Francisco; New York

Salary:

175000.00 - 250000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets
1–2 years in a technical leadership role
Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
Strong programming skills in Python
Fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders

Job Responsibility

Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine
Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes
Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs
Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization
Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth

What we offer

Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

Staff AI Innovation Engineer, Employee Experience

Architect the next generation of Airbnb’s internal operating system by designing...

Location

United States

Salary:

180000.00 - 225000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years in product management, AI engineering, and/or platform architecture, with hands-on experience building and launching AI/ML-powered products
Proven 0→1 builder with extensive experience developing GenAI prototypes, tools, and platforms from scratch
Ability to produce functional prototypes (using Claude Code or similar) within hours and stakeholder-ready demos within days
Strong systems-thinking skills with the ability to map complex workflows, diagnose root causes, and design buildable solutions
Expertise in prompt engineering, context orchestration, and adapting LLM behavior to different users, workflows, and decision contexts
Data-informed decision-maker who can define success criteria, measure ROI, and refine models and workflows
Skilled in communicating technical concepts to non-technical audiences
Highly collaborative, systems-oriented, and adept at connecting dots across people, tools, and processes
Strong visual and narrative communication skills (Figma, Miro, slideware)
Portfolio of prototypes or relevant 0→1 work preferred but not required

Job Responsibility

Translate employee and manager workflows into well-defined AI product opportunities
Rapidly prototype and test working solutions (LLM agents, workflow automations, microapps, embedded tools, etc.)
Architect systems integrations across our HR tech stack (Workday, Greenhouse, Qualtrics, Airtable, RightAnswers, Asana, and more)
Lead discovery sessions with stakeholders to uncover automation and augmentation opportunities
Evaluate third-party AI tools and determine build vs. buy options
Design and execute fast-cycle pilots across knowledge management, decision support, communications, and resource planning
Define success metrics, measure impact, and iterate based on user feedback
Translate complex AI architectures into clear narratives that help stakeholders understand value and adoption paths
Ensure alignment with Airbnb’s privacy, security, and ethical AI guardrails
Continuously evolve EX’s AI strategy as organizational needs and technologies shift

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

New

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

Staff AI Product Manager

At Mirakl, we are embedding state-of-the-art foundation models into our SaaS pla...

Location

France , Paris; Bordeaux

Salary:

Not provided

Mirakl

Expiration Date

Until further notice

Requirements

7+ years of SaaS product management, with deep technical ownership over AI/ML features
MSc/PhD in Computer Science, Machine Learning, or equivalent hands-on expertise
Strong technical fluency in GenAI ecosystems: LLMs, fine-tuning, RAG systems, embeddings, structured output modeling
Hands-on experience working with AI/ML teams on model lifecycle: evaluation, A/B testing, fine-tuning, and post-deployment monitoring
Analytical and experimental mindset: you know how to validate an LLM product beyond demos
Familiarity with computer vision pipelines, data labeling ops, or human-in-the-loop AI systems
Fluent in French and English

Job Responsibility

Own end-to-end AI product strategy and execution for Catalog transformer (attribute extraction, translation, enrichment, and media improvement & moderation) across Mirakl products
Own the integration and evaluation of GenAI models, ensuring quality, reliability, and performance
Drive experimentation with GenAI tooling and scalable deployments
Implement and improve processes for AI squads and between Data Scientist and product Squads
Drive cross-functional collaboration with AI researchers / Datascientist, PM, designers, and engineers to deliver impactful features
Collaborate on AI infra choices (modeling, retrieval stores, quality monitoring)
Help recruiting and training other PM AI
Build internal tooling and evaluation pathways to enable Sales and CS teams to showcase GenAI capabilities
Popularize and promote our AI solutions to facilitate adoption by our customers and prospects by acting as an expert

Engineering Manager, GenAI

Scale

Location:
United States , San Francisco ▼
New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 20, 2026

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