Head of AI Engineering Job at Serval (San Francisco)

Head of Engineering, Product AI

Atlassian is looking for a Head of Engineering to lead product AI feature develo...

Location

United States , Seattle; Mountain View; San Francisco

Salary:

251700.00 - 400000.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Over 8 years of experience in building and scaling engineering teams, specializing in Artificial Intelligence or Machine Learning domains
Extensive experience leading engineering teams, including managing managers of managers, and efficiently running organizations with 30+ engineers across multiple geographies
A track record of delivering high-quality AI solutions in a product-driven organization
Deep expertise in AI/ML technologies, particularly in quality assurance, testing, and validation
Previous experience collaborating with Engineering, Product Management, and Platform teams
Exceptional communication and leadership skills, capable of inspiring and guiding teams effectively
Strong problem-solving abilities and adaptability to thrive in fast-paced, collaborative environments
Demonstrated ability to manage complex projects and foster cross-functional collaboration
Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Job Responsibility

Define and execute the engineering strategy for Product AI quality, ensuring alignment with Atlassian's AI vision and product roadmap
Lead and mentor a team of engineers, fostering a culture of innovation, collaboration, and technical excellence
Collaborate with cross-functional teams, including product managers, data scientists, and designers, to integrate personalized AI solutions into Atlassian's ecosystem
Oversee the development of frameworks and tools to evaluate and ensure the quality, fairness, and reliability of personalized AI models and systems
Drive the adoption of best practices in AI quality assurance, including rigorous testing, monitoring, and validation processes
Ensure the scalability, security, and ethical deployment of personalized AI technologies
Partner with product and engineering teams across geographies to integrate quality-focused AI solutions into Atlassian's suite of products
Act as a thought leader within the organization, advocating for responsible AI practices and continuous improvement in AI quality
Represent the Central AI team in external forums, showcasing Atlassian's commitment to AI quality and innovation

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Head of US Sales Engineering

Head of US Sales Engineering role at eGain, the global leader in AI-powered know...

Location

United States , Sunnyvale

Salary:

200000.00 USD / Year

eGain

Expiration Date

Until further notice

Requirements

Sales engineering leadership experience in enterprise software
Fluency in AI concepts (LLMs, RAG, agents, knowledge architecture)
Proven ability to hire and scale technical teams
Partnership skills to co-sell with account executives and customer success
Executive presence
10 years of B2B Enterprise SaaS experience

Job Responsibility

Build and lead a team of AI-savvy technical sellers
Land new logos and expand enterprise accounts
Showcase AI Knowledge Method, AI Knowledge Hub, AI Agent, Composer
Translate market inflection point into revenue momentum

What we offer

Commission of up to $75,000
Stock options

Fulltime

Head of Marketing Platform Engineering

We are seeking a Head of Marketing Platform Engineering to lead Fever's marketin...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Proven Engineering Leader with 10+ years in software engineering, including 5+ in leadership roles in high-growth, high-scale contexts
AdTech/MarTech Expertise: experience building or scaling systems that interact with major advertising APIs. Meta Ads familiarity is a strong plus
Technical Depth: strong background in backend engineering, distributed systems, and large-scale data pipelines. Python expertise preferred
open to other stacks where appropriate
AI/Optimization Fluency: exposure to algorithmic budget allocation, recommendation systems, or applied ML in marketing contexts
Builder DNA: track record of taking complex platforms from 0→1 and scaling them globally
Talent Magnet: proven ability to hire, develop, and retain top engineering talent
Cross-Functional Communicator: skilled at aligning engineers, data scientists, and business leaders around a shared product vision

Job Responsibility

Build, mentor, and inspire a world-class engineering team
Define technical direction, set ambitious goals, and cultivate a culture of speed, ownership, and innovation
Oversee architecture and implementation of real-time data collection from ad networks, optimization pipelines, and internal tools
Build systems that can handle billions of impressions and thousands of simultaneous campaigns
Partner with ML scientists, data engineers, and business stakeholders to integrate cutting-edge models into the platform
Anticipate shifts in advertising platforms and ensure Fever’s platform remains at the forefront

What we offer

Stock options
Opportunity to have a real impact in a high-growth global category leader
40% discount on all Fever events and experiences
Home office friendly
Responsibility from day one and professional and personal growth
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
Gympass Membership
Possibility to receive in advance part of your salary by Payflow
The opportunity to lead one of Fever’s most strategic technology initiatives

Fulltime

Head of Engineering

Cozycozy is the only platform that gives you real-time access to all available h...

Location

France , Paris

Salary:

Not provided

cozycozy

Expiration Date

Until further notice

Requirements

Master's degree in computer science, engineering or a related field
Experience in overseeing technical teams or individuals as a team lead or manager
Fluent in English (written & spoken)
Strong foundational knowledge of backend and frontend technologies, especially Node.js, Angular, and TypeScript
Experience with databases [MongoDB, MySQL, PostgreSQL]
Knowledge of Kubernetes, Docker, and CI/CD tools like Gitlab and Jenkins
Experience in system architecture management and scalable infrastructures
Experienced in AI and familiar with machine learning technologies
Comfortable managing stakeholders and building strong cross-team relationships
Excellent communicator and team player with proven collaborative skills

Job Responsibility

Developing and implementing our technical strategy and roadmap
Establishing a strong tech culture that promotes innovation and best practices within the IT team
Recruiting and leading the software engineering team
Developing and managing the technical roadmap in collaboration with product and business teams and project managers
Managing technical projects while ensuring adherence to deadlines, quality, and budget
Allocating necessary resources and ensuring timelines are met
Overseeing our global backend and frontend development
Leading rigorous code reviews to ensure software quality and performance
Participating in system architecture decisions
Supervising the design and implementation of a scalable and reliable system architecture

What we offer

Competitive salary
Stock options
Alan health insurance
Swile card
Office in Paris with unlimited coffee, tea, snacks, and drinks

Fulltime

Head of Data & AI

Orbis are partnering with a high-growth FinTech firm with over 500 employees glo...

Location

United Kingdom , London

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

Strong proven experience running data teams and managing data technology strategy for a high-growth Financial Services or FinTech firm
A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure)
Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data
Excellent communication skills with the ability to collaborate with and present to C-Suite

Job Responsibility

Define and own the end-to-end Data & AI strategy across multiple business units and platforms
Consolidating and modernising multi-cloud data stacks and setting target data architecture for current and newly merged businesses
Leading a lean, high-performing Data function (staying ~20% hands-on), partnering closely with C- Suite
Owning the AI/ML roadmap, including for insights, automation and driving measurable business outcomes

Head of Engineering

Lead the Technical Transformation Towards an AI-Driven SaaS Future We are undert...

Location

Sweden , Stockholm; Malmö

Salary:

Not provided

DanAds

Expiration Date

Until further notice

Requirements

Extensive experience in a senior engineering leadership role, such as Head of Engineering, CTO, or Principal Architect, within a SaaS or technology-driven environment
Proven ability to design and operate large-scale distributed systems with a focus on scalability, performance, and reliability
Advanced proficiency in cloud-native engineering, containerization, and DevOps practices
Experience integrating AI/ML technologies into production environments and maintaining robust MLOps workflows
Strong knowledge of data engineering and architectural design for AI-readiness
Exceptional technical judgment and the ability to balance innovation with stability and quality
Demonstrated ability to translate business and product requirements into effective, maintainable technical solutions

Job Responsibility

Provide strategic and operational leadership to the Engineering organization, ensuring the successful delivery of an AI-first, cloud-native SaaS platform
Design and evolve a highly scalable multi-tenant SaaS architecture capable of supporting millions of transactions efficiently
Oversee the development and maintenance of a cloud-native infrastructure, leveraging containerization (Docker, Kubernetes) and CI/CD automation
Collaborate with data science and ML teams to integrate AI and machine learning models into production systems
Develop and manage MLOps pipelines and data infrastructure, including data pipelines, data lakes, and data warehouses

What we offer

Competitive salary
Wellness grant and occupational pension
A fun and entrepreneurial environment
Career growth opportunities
Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more

Head of Data and AI

As the Head of Data and AI, you will drive innovation by identifying and integra...

Location

Sweden , Stockholm

Salary:

Not provided

DanAds

Expiration Date

Until further notice

Requirements

Proven experience building and leading centralized Data/AI teams, including data engineering, data science, and MLOps functions
5+ years of experience deploying ML models into production on AWS (SageMaker, MLOps pipelines)
Experience deploying AI-powered features into customer-facing SaaS platforms
Proven expertise in exposing ML inference via scalable, low-latency REST APIs
Strong background designing and managing high-volume data pipelines (e.g., Kinesis, Kafka, Spark) for feature engineering
Experience implementing model monitoring, drift detection, and XAI frameworks, including establishing an AI governance framework
Advanced degree (MS/PhD) in Computer Science, Statistics, or a quantitative field
Demonstrated ability to translate AI capabilities into product strategy
Deep understanding of data security, PII handling, and privacy-by-design (GDPR, CCPA, SOC2) as applied to ML systems

Job Responsibility

Design, train, and deploy production-grade ML models (using AWS SageMaker, Bedrock, Comprehend) for predictive analytics, anomaly detection, recommendation engines, and automation
Own the entire ML model lifecycle, from training and versioning to secure, low-latency deployment on AWS
Define and implement a company-wide data strategy, including governance, quality, lineage, and access control
Partner with the Domain Expert to formalize AI-driven rules within the BRD
Implement robust monitoring for model drift, bias, and performance
Develop and expose "explainability" endpoints for critical AI decisions
Work with the Platform Back-End Dev to define data pipelines and API contracts for real-time model inference

What we offer

Competitive salary
Wellness grant and occupational pension
A fun and entrepreneurial environment
Career growth opportunities
Industry leading clients such as Paramount Advertising, Yahoo, Nine Group, Roku and many more

Head of Business Systems Analysis and Engineering

Andersen, an international IT company, is looking for a Head of Business Systems...

Location

Salary:

Not provided

Andersen

Expiration Date

Until further notice

Requirements

Experience as a Lead Business Analyst for 5+ years
Experience as a System Analyst with a solid understanding of IT system architecture
Leading the QA/BA function on large-scale projects with 100+ team members and 20+ direct reports
Practical experience in implementing and optimizing tools and processes, not just operating at the methodological level
A combination of hands-on expertise and leadership – building the practice, mentoring, and owning the quality of the function
Experience working in Enterprise environments, transformation initiatives, and centers of excellence
Hands-on experience optimizing requirements processes and implementing automation tools (Jira, Confluence, BPMN, data-tools, etc.)
Deep knowledge of requirements analysis and management methodologies (BABOK, IIBA)
Strong modeling skills (BPMN, UML, ERD) and proficiency with tools (Enterprise Architect, Visio, Lucidchart, or equivalents)
Experience writing project documentation: BRD, SRS, User Stories, Acceptance Criteria

Job Responsibility

Developing and implementing business and systems analysis strategy for complex IT projects
Defining and evolving the requirements management service: standards, processes, tools, and metrics
Optimizing requirements-related workflows for various scenarios (greenfield development, legacy systems, off-the-shelf solutions, integrations)
Introducing AI tools and automation to improve analyst efficiency: reducing routine efforts, improving artifact quality
Creating and maintaining documentation (BRD, SRS, User Stories, Use Cases, BPMN, UML, ERD)
Aligning functional and non-functional requirements with development, architecture, and business teams
Embedding requirements analysis processes into end-to-end SDLC considering Agile, Waterfall, and hybrid methodologies
Resolving complexities and conflicts in requirements processes: addressing inconsistencies, resistance to change, and skill gaps
Managing and developing the analyst community: mentoring, training, implementing best practices
Building and maintaining talent pools to grow domain-specific expertise among analysts

What we offer

Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others
The opportunity to change the project and/or develop expertise in an interesting business domain
Guarantee of professional, financial, and career growth
The company has introduced systems of mentoring and adaptation for each new employee
The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities
Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated
Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies)
Certification compensation (AWS, PMP, etc)
Referral program
English courses

Head of AI Engineering

Serval

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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