Software Engineering Manager - AI Platform Development Job at Microsoft Corporation (Barcelona)

Manager, Software Engineering - AI and Data Platform

The Engineering Manager, Data & AI Platform is responsible for leading teams tha...

Location

United States of America

Salary:

133700.00 - 173800.00 USD / Year

Blackbaud

Expiration Date

Until further notice

Requirements

8+ years of experience in software, data, or platform engineering (.NET, Azure, Databricks, ADO preferred)
3+ years of experience managing and developing data engineering teams
Hands‑on experience with modern data platforms, cloud data lakes/lakehouses, distributed processing, streaming, APIs
Strong understanding of platform engineering principles and operating production systems at scale
Proven ability to lead through ambiguity and influence without authority.

Job Responsibility

Own and evolve core Data & AI platform capabilities, including ingestion, transformation, lakehouse architecture, feature services, and AI/ML enablement layers
Drive platform decisions aligned with Blackbaud’s Unified Data & AI Platform Strategy (modularity, interoperability, AI‑first design)
Partner with Architecture, Governance, and Security to ensure the platform meets trust, compliance, and Responsible AI standards
Balance build vs. buy decisions, prioritizing core competencies while reducing operational complexity
Lead teams to deliver high‑impact platform initiatives aligned to AOP priorities (legacy modernization, cloud migration, cost optimization, agent enablement)
Ensure platform reliability through operational excellence, including monitoring, incident management, and performance optimization
Establish clear roadmaps, milestones, and success metrics for platform initiatives
Hire, mentor, and grow high‑performing platform engineers across geographies
Provide regular feedback, coaching, and career development aligned with Blackbaud’s people strategy
Ensure every team member has clear goals, an active IDP, and opportunities to grow in modern Data & AI skills

What we offer

Medical, dental, and vision insurance
Remote-flexible workforce
Wellness Programs
401(k) program with employer match
Flexible paid time off
Generous Parental Leave
Donations for Doers
Pet insurance, legal and identity protection
Tuition reimbursement program

Fulltime

Principal Software Engineering Manager - AI Frameworks

As a Principal Software Engineering Manager - AI Frameworks on the team, you wil...

Location

United States , Redmond

Salary:

139900.00 - 304200.00 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
Master’s Degree in Computer Science or related technical field AND 10+ years of software engineering experience, including 6+ years in engineering management, OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years of software engineering experience, including 6+ years in engineering management, or equivalent experience
Strong technical foundation in software engineering principles, computer architecture, GPU architecture, and hardware acceleration for neural networks, with the ability to guide teams working in these areas
Experience leading teams responsible for end-to-end performance analysis and optimization of LLMs, AI systems, or HPC workloads, including use of GPU profiling and performance analysis tools
Demonstrated ability to lead cross-team initiatives, align stakeholders, and translate research or platform capabilities into scalable, production-ready solutions
Proven people leadership skills, including hiring, coaching, performance management, and career development, with a track record of building high-performing, inclusive teams
Exposure to AI / ML infrastructure, including DNN or LLM training and/or inference systems, and experience with at least one modern deep learning framework (e.g., PyTorch, TensorFlow, ONNX Runtime)
Familiarity with GPU software stacks and acceleration technologies such as CUDA, ROCm, Triton, or equivalent, sufficient to guide technical direction and evaluate tradeoffs

Job Responsibility

Lead and develop a team of engineers working across multiple layers of the AI software stack to enable large-scale training and inference
Set technical vision and execution strategy for model performance benchmarking, optimization, and deployment across GPUs and Microsoft hardware
Drive performance outcomes by prioritizing and overseeing efforts to benchmark, profile, debug, and optimize training and inference workloads
Own performance health by establishing mechanisms to monitor regressions, measure impact, and continuously improve time-to-deploy and hardware efficiency
Partner cross-functionally with research, product, infrastructure, and hardware teams to deliver scalable, production-ready AI performance improvements
Balance short-term delivery and long-term investments, ensuring the team’s work aligns with organizational goals, platform roadmaps, and Azure capex objectives
Build a strong engineering culture through coaching, feedback, hiring, and career development, enabling the team to operate with increasing autonomy and impact

Fulltime

Engineering Manager, AI Platform

We are seeking a highly skilled and motivated Engineering Manager to lead our AI...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
Minimum 10+ years of experience in software engineering or AI/ML development
At least 3 years in a leadership role managing high-performing teams
Proficiency in programming languages such as Python
Strong understanding of AI/ML frameworks and libraries (e.g.,Langgraph)
Experience with cloud platforms (e.g., Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)
Proven ability to build, lead, and inspire a diverse team
Strong analytical and problem-solving skills
Excellent verbal and written communication skills
Passionate about AI and technology with a keen interest in staying updated on the latest trends

Job Responsibility

Develop and execute the strategy for the AI team
Build, mentor, and lead a high-performing team of software engineers, and AI specialists
Partner closely with Product, Design, and Operations to define the roadmap
Serve as the accountable owner for the architecture and system quality across our AI services
Guide architectural designs, review critical models and APIs
Champion best practices for the entire AI lifecycle
Own the operational health of our production AI systems
Lead the talent strategy for your organization
Effectively communicate progress, insights, and the business impact of AI initiatives to executive leadership

Fulltime

Senior Manager, AI Platform Engineering

Socure is building the identity trust infrastructure for the digital economy — v...

Location

United States

Salary:

190000.00 - 210000.00 USD / Year

Socure

Expiration Date

Until further notice

Requirements

8+ years of professional software engineering experience, including time spent building or operating large-scale ML, data, or distributed systems platforms
3+ years of engineering leadership experience managing multiple teams or engineering managers
Strong technical background in ML infrastructure, data engineering, and/or cloud-native distributed systems
Demonstrated experience delivering complex, cross-functional platform initiatives
Excellent communication and stakeholder management skills, with the ability to translate between technical detail and business priorities
Experience working in fast-paced, iterative environments using modern development practices

Job Responsibility

Develop and own the roadmap for Socure’s AI/ML platform, including data and feature engineering workflows, training infrastructure, experimentation tooling, model deployment/serving, monitoring, and governance
Define architecture and standards that create clear, scalable, and secure paths for building and operating AI systems
Assess technology options and drive consolidation across the company to reduce fragmentation and improve consistency across the ML toolchain
Partner with Data Science, Engineering, Product, and Sales-Enablement teams to develop AI infrastructure that delights Customers
Lead the design and operation of the end-to-end ML lifecycle: data ingestion, feature engineering, experimentation, training, model registry, deployment, and continuous monitoring
Partner closely with Data Science to enable fast, reproducible experimentation and reduce operational friction
Ensure the platform delivers reliability, traceability, observability, and performance for both batch and real-time model workloads
Guide the team to deliver high-quality platform capabilities with predictable timelines and strong technical rigor
Remove cross-team bottlenecks, align dependencies, and ensure seamless execution across Data, Infrastructure, and Product
Establish SLAs, operational standards, and production-readiness guidelines for ML pipelines and serving systems

What we offer

Offers Equity
Offers Bonus
benefits

Fulltime

Senior Manager- Software Development Engineering

We’re building a world of health around every individual — shaping a more connec...

Location

United States , Richardson

Salary:

118450.00 - 236900.00 USD / Year

CVS Health

Expiration Date

July 13, 2026

Requirements

8+ years of IT experience with a strong focus on engineering and software development
5+ years of hands-on cloud development in GCP, along with expertise in building applications using Angular and Java frameworks
4+ years recruiting, managing, and retaining a high-performing team of software development professionals in an agile environment
1+ year using generative AI as an integrated component in software solutions

Job Responsibility

Technical oversight: Technical leader capable of designing and overseeing the build-out and operations of complex distributed systems at scale in a fast-paced digital organization
Engineering leadership: Able to technically direct, support, and evaluate the value, ensuring we are building best-in-class solutions that can scale to meet our future needs
System performance: Monitor and optimize both team & system performance, identifying opportunities for enhancement and addressing any issues or bottlenecks. Establish KPIs and OKRs that unlock quantitative insight so we can change processes with confidence
Talent management: Recruit, manage, mentor, and retain a high-performing engineering team while contributing to a positive and supportive culture, encouraging innovation, and driving a pragmatic balance of continuous improvement and effective value delivery
End-to-end ownership: Lead a team from strategy through delivery in complex and highly visible engineering projects
Prioritization and pivots: Guides team’s work prioritization in alignment with our strategic objectives. Coach/guide engineers through pivoting as needed while remaining steadfastly focused on the overall objective
Cross-functional collaboration: Collaborate closely with other technical teams (engineering, platform, design, security) to understand their expectations and develop solutions in accordance with appropriate guidelines
Coalition building: Establish effective relationships with partners and customers, ensuring that you understand their vision and can help them deliver on their goals
Risk management: Proactively identify, communicate, and mitigate both internal and external risks. Communicate clearly on progress, challenges, and opportunities to stakeholders, including presenting technical concepts to non-technical audiences
Staying current: Stay updated on industry trends, emerging technologies, and best practices in software development, analytics, and AI technologies to drive innovation and efficiency

What we offer

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
CVS Health bonus, commission or short-term incentive program
equity award program

Fulltime

Engineering Manager - AI Cloud Platform

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serv...

Location

United States , San Francisco

Salary:

330000.00 - 440000.00 USD / Year

Lambda

Expiration Date

Until further notice

Requirements

5+ years in a full-time management role at a high-growth technology company
10+ years of industry experience in software engineering, with a focus on large-scale distributed systems and backend systems
Proven record of leading and building engineering teams that work on mission-critical, high performance systems
Proven track record leading teams that deliver enterprise features or governance platforms
Exceptional leadership skills that encompass leading by trust, building empathy with your reports and other teams, and maintaining a sustainable but rapid velocity
Demonstrated expertise in managing long-term projects alongside urgent, short-term priorities and incident resolution
Extensive experience collaborating with product, sales, and other engineering teams to build cohesive products with a focus on user experience and reliability
Ability to understand, review and structure Python and Go applications

Job Responsibility

Lead the AI Cloud Core Platform team of ~6 engineers, with end-to-end ownership of Cloud Platform and governance capabilities
Drive execution of roadmap features including cluster lifecycle automation
Partner closely with Product and Design to ensure the user experience matches the needs of enterprise customers
Balance rapid feature delivery with longer-term investments in scalability, observability, and platform design
Hire, mentor, and grow a team of engineers, providing career development and feedback
Collaborate with other Lambda teams (Control Plane, Billing, Platform) to ensure smooth, integrated delivery across the stack
Contribute to a culture of high performance, documentation, humility, and curiosity
Be product-focused in your leadership and execution, always placing the needs of the customer first, with a particular focus on feature velocity, reliability and security
Shape a culture of sustainable, empathetic, and high-velocity engineering, with a deep focus on cross-team collaboration, documentation, and data-driven decision-making

What we offer

Generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use

Fulltime

Principal Software Engineering Manager, Windows Platform & Developer Team

Windows is evolving beyond a platform for applications towards a foundation on w...

Location

United States , Redmond

Salary:

142800.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, or related technical discipline 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

Job Responsibility

Owning the technical direction for new agentic capabilities, from design to delivery
Lead cross-functional partnerships with product, design, data, leaders of internal Microsoft product groups, as well as external partnerships with each frontier artificial intelligence (AI) company
Lead, mentor, and grow a team of engineers, including running effective 1:1s, providing direct feedback, and building clear growth paths for engineers at each stage of their career
Recruiting and retaining top systems engineering talent, with a bias toward people who are curious about and energized by AI-native development
Represent your team's work to leadership, communicating judgement in trade-offs, communicating decisions, risks, and strategic context with clarity and confidence
Thought leadership for the broader organization

Fulltime

Principal Software Engineering Manager - UI Platform

Would you like to lead the next wave of innovation for Windows and build breakth...

Location

India , Hyderabad

Salary:

Not provided

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.
6 or more years of total experience designing, building and shipping software at scale and at least 4 years of team leadership and people management.
Significant interest and experience with AI-powered, agentic coding tools and platforms.
Solid design, coding, debugging, teamwork, partnership and communication skills.
Experience in leading large dev teams to achieve complex goals on time and on budget.
Proven ability to find a shippable solution given conflicting and ambiguous requirements.
Excellent Technical skills in Driving Design, Architecture with cross product and services dependencies.
Ability to Drive Innovation with customer obsession.
Experience with cross group design and coordination is an advantage.
You must be self-driven, curious to learn, proactive, and result oriented.

Job Responsibility

Influence and align the product vision by collaborating with customers, partners, product management, and engineering teams.
Managing a team of high-caliber Software Engineers, ensuring project and development excellence and technical leadership.
Deliver high quality results with full ownership and take the product to next level.
Own career development of team through active coaching.
Create a solid team culture of engineering excellence, customer passion, collaboration, diversity and inclusion. And of course, having fun too!
Lead, motivate and drive the team to embrace the best of frontier and Agentic coding practices.
Hire and develop the best.

Fulltime

Select Country

Software Engineering Manager - AI Platform Development

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?