Senior Delivery Manager – AI Team Job at FoodLabs & Atlantic Labs (Bengaluru)

Senior AI Project Manager - Broker Dealer & Wealth Management

Seeking a Senior AI Project Manager to lead AI and data-driven initiatives withi...

Location

United States , El Segundo

Salary:

85.00 USD / Hour

Beacon Hill

Expiration Date

Until further notice

Requirements

7+ years of project or program management experience, including AI/ML or data-driven initiatives
Direct experience in Broker Dealer & Wealth Management environments (required)
Proven delivery experience in financial services or highly regulated environments
Hands-on experience managing large, complex programs with minimal supervision
Strong understanding of the AI/ML lifecycle: data pipelines, model training/testing, evaluation, deployment, and MLOps
Working knowledge of data quality, governance, bias, privacy, and ethical AI considerations
Familiarity with cloud platforms (AWS, Azure, or GCP) and AI/engineering tools (e.g., Jira, Git, TensorFlow, PyTorch)
Define and manage scope, schedule, cost, risk, resources, and quality
Create and maintain detailed project plans, milestones, dependencies, and reporting
Lead cross-functional teams including data scientists, ML engineers, data engineers, and business stakeholders

Job Responsibility

Lead AI and data-driven initiatives within a Broker Dealer & Wealth Management environment
Own delivery end-to-end-from project definition through deployment
Ensure alignment between business objectives, data teams, and regulatory requirements

Fulltime

Senior AI Product Manager

We are investing massively in developing next-generation, agentic and generative...

Location

United Kingdom , London

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

Proven relevant Product Management experience
Experience developing AI products
Conceptual understanding of AI
BA/BS Computer Science/ related technical degree, or 3+ years equivalent technical experience
Success defining and launching software products
An understanding of the software development lifecycle
Experience working with data scientists
Knowledge of product methodologies such as user story mapping, user personas
Demonstrable ability to determine value
Strong problem solving and analytical capabilities

Job Responsibility

Design the start-to-end experience of an early stage, B2B AI product
Manage the entire product life cycle
Own roadmap plans and prioritise features to support ongoing delivery in line with client expectations
Work closely with development and data science teams to ensure on time delivery of product releases and oversee the product backlog
Conduct requirements gathering, reviews, and design review meetings with stakeholders, domain experts and technical architects
Analyse market trends and closely monitor product competitors
Perform business and technology analyses, based on product and user needs
Act as the subject matter expert of the product area and market internally (engineering, sales, pre-sales, and marketing) as well as externally (business partners, agencies, customers)
Research, gather, and define product's business requirements from discussions with users, clients, partners, sales and other sources for current and future product releases
Cooperate with other teams on product integrations and understand how products can be made so they are are reusable for other clients, not as an off-the-shelf product but a customisable product

What we offer

Development - annual development budget to upskill yourself
Annual bonus - when Satalia does well, we all do well
Remote working - café, bedroom, beach - wherever works
Impactful projects - focus on bringing meaningful social and environmental change
People oriented culture - wellbeing is a priority, as is being a nice person
Truly flexible working hours - school pick up, volunteering, gym - no problem
Generous leave - 27 days’ holiday plus bank holidays and enhanced family leave
Transparent and open culture - you will be listened to and heard

Fulltime

Senior Engineering Manager, AI

As a Senior Engineering Manager (Forward Deployed Engineering team) at Atlassian...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
5+ years of experience managing software engineering teams at scale
Experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
Strategic and innovative thinking, with a track record of aligning technical solutions to business goals

Job Responsibility

Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Mentor and coach your forward-deployed engineering team on best practices in AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation—ensuring rapid, high-quality delivery of customer-focused, production-ready solutions
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results

What we offer

Health coverage
Paid volunteer days
Wellness resources

Senior AI Solutions Manager

This role is designed for a professional with a strong track record in driving d...

Location

Saudi Arabia , Al Khobar

Salary:

Not provided

Beyond Limits

Expiration Date

Until further notice

Requirements

Proven experience in enterprise technology consulting and managing complex AI solution deployments, particularly within industrial or high-tech sectors (Preferred 8-12 years), more is a plus
University degree in computer science, or related (M.Sc. or PhD is preferred)
Deep technical expertise in AI frameworks, platforms, and integration methodologies
Demonstrated success in technical pre-sales support and in managing strategic partner ecosystems
Strong leadership, project management, and stakeholder engagement skills, with a track record of delivering transformative digital solutions

Job Responsibility

Lead the design of scalable AI architectures that seamlessly integrate with existing enterprise systems, directly addressing complex industrial challenges
Develop tailored AI models and proof-of-concept prototypes that demonstrate clear business value and operational impact
Conduct technical feasibility assessments to validate solution designs and ensure alignment with strategic business requirements
Oversee the full lifecycle of AI projects - from initial scoping and conceptualization to deployment and post-implementation support ensuring timely delivery and budget adherence
Engage closely with client representatives, internal R&D teams, product design team, and technical staff (both software engineering and data science) to maintain clear communication and alignment on objectives, deliverables, and timelines
Implement effective risk management strategies while maintaining rigorous quality standards throughout project execution
Provide high-level consulting on AI strategies and digital transformation roadmaps that empower clients to gain competitive advantages
Analyze and reengineer business processes with AI-driven enhancements to boost operational efficiency and drive measurable results
Lead change initiatives by advising on best practices for technology adoption and delivering targeted training to upskill client teams
Serve as the technical authority during pre-sales activities, articulating the capabilities of Beyond Limits’ platforms, frameworks, and products to prospective clients

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 Engineering Manager - AI Core Platform

We’re hiring a Senior Engineering Manager (or high-potential EM2) for the Core P...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Experience leading engineering teams, ideally across infrastructure or platform domains
Recent hands-on coding experience — you’ve shipped production code in the last couple of years
Strong technical judgment and the ability to coach senior engineers through complex architectural trade-offs
Adaptable leadership style suited to a group that will grow quickly, and change shape over time
Curiosity and enthusiasm for AI, with a desire to learn how ML systems are developed and operated in production

Job Responsibility

Lead a high-performing team building the platform and infrastructure that power Intercom’s AI capabilities
Contribute directly to production code, staying close to the work and building knowledge & context through first-hand experience
Support teams of ML Scientists and Engineers building AI powered capabilities
Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation
Improve developer experience across the AI infrastructure stack, ensuring that systems are observable, scalable, and easy to build upon
Empower the engineers on the team to act with agency and maximize their impact
Expand your scope over time, potentially taking ownership of additional platform domains as the team and AI initiatives grow

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Senior Technical Delivery Manager

We're seeking a Senior Technical Delivery Manager to spearhead enterprise deploy...

Location

Spain , Madrid

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

Strong, demonstrable experience in technical delivery, solutions architecture, or infrastructure engineering, with experience supporting enterprise software deployments in highly regulated industries (financial services, healthcare, manufacturing)
Deep understanding of cloud infrastructure (AWS preferred), containerization technologies, enterprise networking, and security frameworks relevant to enterprise AI (SOC 2, ISO 27001, GDPR)
Proven track record managing multi-stakeholder technical projects across geographies and organizational boundaries
Cloud & Infrastructure: AWS (VPC, IAM, ECS/EKS, CloudWatch), Docker, Kubernetes, CI/CD pipelines
Enterprise Integration: RESTful APIs, authentication protocols (OAuth, SAML), enterprise databases, ETL/data pipeline concepts
AI/ML Fundamentals: Understanding of LLM architectures, RAG systems, agent frameworks, and enterprise AI governance
Security & Compliance: Experience with enterprise security reviews, data residency requirements, encryption standards, and regulatory compliance
Exceptional communication skills with ability to translate technical concepts for executive stakeholders and build trusted advisor relationships
Calm and composed under pressure, with proven ability to navigate high-stakes situations and de-escalate tension with diplomacy and professionalism
Structured problem-solver who thrives in ambiguous, fast-moving environments with composure under pressure

Job Responsibility

Lead end-to-end technical delivery of Maisa platform deployments across geos and regulatory environments, designing solution architectures for on-premise, private cloud, and hybrid environments that meet stringent enterprise security and compliance requirements while integrating with existing enterprise systems (e.g. legacy systems, ERP/CRM, identity providers, SIEM tools), as well as and troubleshooting complex technical issues spanning containerization (Docker/Kubernetes), networking, API integrations, and enterprise authentication (SSO, MSK, RBAC)
Serve as the primary technical point of contact for strategic enterprise clients, translating complex AI capabilities into business value through solution design workshops, architecture reviews, and executive stakeholder engagement. Whilst building confidence in our enterprise readiness
Partner with Support teams to ensure smooth operational hand off by developing technical documentation, SLA’s, escalation paths and playbooks, while serving as the escalation point for complex technical issues and critical incidents
Bridge between Client Services, Product Engineering, Applied AI, Support Operations, and customer teams to develop deployment playbooks, identify product enhancement opportunities, and support pre-sales technical validation

Account Delivery Manager

Technical Account Delivery Manager to oversee and ensure successful delivery and...

Location

Italy , Cernusco sul Navigli

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

First Level University Degree or equivalent combination of education and experience
7+ years relevant business experience
Multi cultural and x-region experience desired
ITIL/ITSM experience (Agile methodology certification is welcome)
Ability to build & manage strong customer relationship at the executive level
Ability to apply business management, financial concepts & contracts knowledge
Ability to understand & analyze issues to develop corrective action plans
Leadership ability to build & manage cross-cultural teams
Ability to proactively manage risk on high to very high risk projects
Excellent communication skills: verbal, written & presentation

Job Responsibility

Develops and nurtures senior mgmt or executive-level relationships with the customer
Owns customer operational relationship and ensures excellent customer satisfaction
Understands customer at local, country, region & WW level to analyze delivery requirements
Develops strategies and processes with customer in performance metrics, escalation change management
Principle contact for operational & tactical issues representing delivery of all services
Owns expense/cost target commitments for all service delivery requirements
Develops & leads AST (Account Support Team) & all delivery organizations
Develops & manages account service delivery plan
Negotiates with and manages 3rd party vendors
Develops solutions and participates in presales & change order negotiations

What we offer

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

Fulltime

Senior Delivery Manager – AI Team

FoodLabs & Atlantic Labs

Location:
India , Bengaluru

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 06, 2026

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