ai engineering manager

EvenUp

<div>EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.
We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.<h1 class="jobSectionHeader">
Life as an Engineer at EvenUp</h1><h1 class="jobSectionHeader">
Location &amp; Work Model</h1>
This is a hybrid role, with an expectation of being in our Toronto office three days per week.<h1 class="jobSectionHeader"> 
About the Team</h1>
EvenUp&rsquo;s document products empower attorneys to represent their clients more effectively and secure better outcomes. With over $1.5B in damages claimed to date, the Document Generation team is developing an industry-leading, AI-native platform for generating legal documents in personal injury law.
As Engineering Manager for Document Generation, you will lead a high-impact team building the systems at the core of EvenUp&rsquo;s business. You&rsquo;ll balance strategic leadership with hands-on technical contribution, collaborating closely with founders, product, and cross-functional partners to scale AI-native workflows that directly advance EvenUp&rsquo;s mission to ensure personal injury victims receive fair compensation.<h1 class="jobSectionHeader">
Responsibilities</h1><ul><li>
Lead and scale a team building AI-native document generation workflows</li><li>
Drive execution across complex, mission-critical initiatives tied to EvenUp&rsquo;s core products</li><li>
Partner with Product, Design, Legal, and Operations to deliver high-quality, customer-centric solutions</li><li>
Establish and uphold a high bar for engineering quality, reliability, and operational excellence</li><li>
Guide technical decision-making across architecture, system design, and AI integration</li><li>
Use data-driven insights to continuously improve delivery velocity, quality,</li></ul><h1 class="jobSectionHeader">
What You&rsquo;ll Do</h1><ul><li>
Team Leadership &amp; Strategy: Set and communicate a clear technical and execution vision aligned with EvenUp&rsquo;s broader goals. Lead engineers through the full software lifecycle, from planning and architecture to deployment and monitoring. Foster a culture of ownership, accountability, collaboration, and continuous learning</li><li>
Product &amp; AI-Native Development: Guide the development of advanced AI workflows, including LLM-based systems and expert-review pipelines. Balance innovation and pragmatism when scaling AI-driven products in production environments. Contribute hands-on as needed, particularly in complex or high-impact technical areas</li><li>
Cross-functional Collaboration: Work closely with founders, product managers, designers, and stakeholders to scope, prioritize, and deliver initiatives. Translate business and customer needs into clear technical direction for the team</li><li>
Engineering Excellence &amp; Operations: Champion best practices across architecture, coding standards, testing, security, observability, and reliability. Ensure systems handling sensitive data are secure, compliant, and production-ready. Oversee operational ownership, including incident response, on-call health, and reducing operational toil</li><li>
Mentorship &amp; Growth: Recruit, mentor, and develop engineers through regular feedback, coaching, and career development. Support performance management, growth planning, and team health</li></ul><h1 class="jobSectionHeader">
What We Look For</h1><ul><li>
4+ years of direct people-management experience leading software engineering teams</li><li>
Proven ability to ship and scale complex, high-quality software systems</li><li>
Strong technical background with experience in distributed systems and modern backend architectures</li><li>
Demonstrated success balancing strategic leadership with hands-on technical contribution</li><li>
Experience leading teams in fast-paced, high-growth environments</li><li>
Excellent communication skills and ability to influence across cross-functional partners</li><li>
Strong sense of ownership, accountability, and bias toward execution</li></ul><h1 class="jobSectionHeader">
Bonus</h1><ul><li>
Experience or strong interest in AI/ML, LLM-based systems, or legal tech</li><li>
Background in AI-native or social impact&ndash;driven products</li></ul>
#LI-Hybrid
Notice to Candidates:
EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team &ndash; please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no‑reply@canditech.io email addresses.
To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you&rsquo;re interested in a role, please submit your application directly through our careers page.
If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent-ops-team@evenuplaw.com. Examples of fraudulent domains include &ldquo;careers-evenuplaw.com&rdquo; and &ldquo;careers-evenuplaws.com&rdquo;.
Benefits &amp; Perks:
As part of our total rewards package, we offer attractive benefits and perks to our employees, including:<ul><li>
Choice of medical, dental, and vision insurance plans for you and your family.</li><li>
Additional insurance coverage options for life, accident, or critical illness.</li><li>
Flexible paid time off, sick leave, short-term and long-term disability.</li><li>
10 US observed holidays, and Canadian statutory holidays by province.</li><li>
A home office stipend.</li><li>
401(k) for US-based employees and RRSP for Canada-based employees.</li><li>
Paid parental leave.</li><li>
A local in-person meet-up program.</li><li>
Hubs in San Francisco and Toronto.</li></ul>
Please note the above benefits &amp; perks are for full-time employees
EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Compensation Range: CA$179,600 - CA$243,088</div>

Engineering Manager, AI DocGen

TEEMA

<div>is seeking a visionary Head of Artificial Intelligence to define and lead our enterprise AI strategy at the intersection of advanced manufacturing, data, and innovation. This is a high-impact leadership role responsible for transforming semiconductor assembly and test operations through applied machine learning (ML) and deep learning (DL) solutions that deliver measurable business results.
In this role, you will shape and execute a forward-looking AI roadmap aligned with company's operational, quality, and yield objectives. You will lead the development and deployment of AI solutions across predictive maintenance, defect detection, process optimization, and yield improvement&mdash;scaling models from proof-of-concept to production across complex, data-rich manufacturing environments.
You will partner closely with data engineering, operations, manufacturing engineering, and IT teams to build and leverage unified data platforms that enable AI at scale. A strong understanding of modern data integration frameworks&mdash;such as Microsoft Fabric or comparable platforms&mdash;will allow you to accelerate insight generation and operational adoption. You will also evaluate emerging AI technologies and determine their practical application within high-volume, high-precision factory settings.
As a people leader, you will recruit, mentor, and develop a world-class AI organization, fostering a culture of innovation, accountability, and collaboration. You will serve as a trusted advisor to senior leadership, translating advanced technical concepts into clear business value and driving alignment across stakeholders.
Qualifications<ul><li>
Master&rsquo;s or Ph.D. in Computer Science, Data Science, Electrical Engineering, or related field</li><li>
12+ years of AI/ML experience, including 5+ years in leadership roles</li><li>
Proven success deploying AI solutions in manufacturing or industrial environments</li><li>
Expertise in ML/DL frameworks (TensorFlow, PyTorch) and data engineering platforms</li></ul>
Preferred<ul><li>
Semiconductor manufacturing experience</li><li>
Edge AI and real-time analytics exposure</li><li>
Cloud-based AI deployment (Azure preferred)</li></ul>
This is an opportunity to lead AI at scale, influence global manufacturing outcomes, and shape the future of semiconductor innovation.
#Workwolf</div>

Head of Artificial Intelligence (AI)

FieldAI

<div>
 
 FieldAI is transforming how robots interact with the real world. Our growing R&amp;D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.
 
 
 
 
 
 We are seeking an accomplished Senior Engineering Manager to lead a lean, high-performing team of research scientists and engineers working at the forefront of robotics AI. In this role, you will define and drive research strategy, oversee the development of advanced AI algorithms, and guide programs from early research through real-world deployment on physical robotic systems. You will balance deep technical leadership with people management, ensuring both scientific excellence and real-world impact.
 
 
 
 &nbsp;
 
 
 
 This is an opportunity to shape the future of robotic autonomy by translating cutting-edge research into systems that operate reliably in complex, dynamic environments on real robots.
 
 
 
 
 
 
 What You Will Get To Do
 
 <ul>
 
 <li>
 
 Set Research Vision and Strategy
 
 </li>
 
 <li>
 Define and execute the robotics AI research roadmap in alignment with FieldAI&rsquo;s mission and product goals
 </li>
 
 <li>
 Identify emerging research directions, tools, and techniques across robotics, embodied AI, and machine learning
 </li>
 
 <li>
 Establish clear technical goals, milestones, and success metrics tied to real-world robot performance
 </li>
 
 <li>
 
 Lead and Grow Research Teams
 
 </li>
 
 <li>
 Recruit, mentor, and manage a multidisciplinary team of research scientists and engineers
 </li>
 
 <li>
 Provide hands-on technical leadership through design reviews, experiment reviews, and close collaboration on challenging problems
 </li>
 
 <li>
 Own performance management, professional development, and career progression within the team
 </li>
 
 <li>
 
 Drive End-to-End Research and Deployment
 
 </li>
 
 <li>
 Lead projects from problem definition through algorithm design, simulation, on-robot testing, and field deployment
 </li>
 
 <li>
 Ensure research outputs translate into robust, scalable, and safe systems on physical robots
 </li>
 
 <li>
 Champion experimental rigor, including benchmarking, ablations, reproducibility, and failure analysis
 </li>
 
 <li>
 
 Partner Across the Organization
 
 </li>
 
 <li>
 Collaborate closely with product, engineering, and operations teams to integrate research into production systems
 </li>
 
 <li>
 Communicate technical progress, risks, and tradeoffs clearly to cross-functional stakeholders and leadership
 </li>
 
 <li>
 Represent Field AI externally through publications, conferences, collaborations, and recruiting
 </li>
 
 <li>
 
 Ensure Operational Excellence
 
 </li>
 
 <li>
 Build and maintain processes for experiment management, evaluation, and reproducibility
 </li>
 
 <li>
 Manage resources, timelines, and priorities to deliver high-quality results efficiently
 </li>
 
 <li>
 Foster a culture of technical excellence, ownership, and rapid iteration
 </li>
 
 
 </ul>
 
 
 
 
 What You Have
 
 <ul>
 
 <li>
 PhD in Computer Science, Robotics, Artificial Intelligence, or a related field, or equivalent practical experience, with a strong background in applied research
 </li>
 
 <li>
 8+ years of experience delivering impactful research in robotics AI, machine learning, or closely related domains
 </li>
 
 <li>
 4+ years of leadership experience managing research and engineering teams, including hiring, mentorship, performance management, and career development
 </li>
 
 <li>
 Proven ability to lead multiple complex projects in parallel, from early research through real-world validation
 </li>
 
 <li>
 
 Direct, hands-on experience developing, testing, and deploying AI models on humanoid and/or quadruped robots.
 
 </li>
 
 
 </ul>
 
 
 
 
 The Extras That Set You Apart
 
 <ul>
 
 <li>
 Experience with large-scale field robotics deployments
 </li>
 
 <li>
 Deep expertise in one or more areas such as robotics reinforcement learning, manipulation, perception, planning, or multi-robot systems
 </li>
 
 <li>
 Demonstrated success with sim-to-real transfer on legged or humanoid platforms
 </li>
 
 <li>
 Experience deploying AI on embedded or edge systems in resource-constrained environments
 </li>
 
 <li>
 Publications or impactful open-source contributions in robotics or embodied AI
 </li>
 
 
 </ul>
 
 
 
 
 
 
 
 Why Join Field AI?
 
 
 
 FieldAI is tackling one of robotics&rsquo; hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models&trade; advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.
 
 
 
 
 
 You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.
 
 
 
 
 
 Our R&amp;D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.
 
 
 
 
 
 
 Be Part of the Next Robotics Revolution
 
 
 
 Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
 
 
 We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.
 
 
 
 
 
 
 Equal Opportunity
 
 
 
 FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
</div>

Senior Engineering Manager, Robotics and Humanoid Research

Hex Technologies

SF or NYC
 
About the role: 
Come define the future of AI Engineering at the company building the world’s leading agentic data science and analytics platform. As our AI Engineering Lead, you will accelerate the product and company by leveraging frontier AI technology and techniques, collaborating closely with product and engineering, and building and developing a world-class team of AI Engineers.
 
What you will do: 
Stay up-to-date on the latest in AI technology and work with engineering teams to push the frontier of product capabilities
 Define and implement the future of the AI Engineering function at Hex as we scale
 Hire and mentor an exceptional team of AI Engineers
 Support an exceptional developer and research experience for teams working with AI technology
 Deliver high-performing shared AI infrastructure, including search systems
 
About You: 
You have 4+ years of people management experience and leading high-performing teams
 You have deep familiarity with modern AI technology as well as classical ML systems and a passion for sharing that with others. Technologies of particular interest include LLMs and transformer models, agentic workflows, context management, and agentic evals.
 You are obsessed with driving business outcomes and delivering value to customers
 You are rigorous but pragmatic, balancing good experimental design with early-stage agility
 You are a strong communicator and love collaborating with other roles and teams to drive outcomes
 You are a talent magnet, with the ability to attract and retain exceptional AI talent
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $246,000 - $329,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Engineering Lead

Director of Artificial Intelligence

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div> 
What you'll build 
In this role, you'll lead an engineering team building AI-enabled products and platforms while driving strong execution, delivery predictability, and team growth. You'll own planning and delivery across the full development lifecycle: roadmap translation, scope management, staffing, prioritization, sprint execution, release planning, risk management, dependency handling, and stakeholder communication. On the technology side, you'll guide teams building scalable services, data pipelines, ML-enabled applications, and LLM-based features, ensuring sound engineering around architecture, quality, observability, security, and operational readiness. You&rsquo;ll help the team make good decisions about model integration, experimentation, evaluation, deployment, monitoring, and governance, while balancing innovation with business value, cost, and time to market. Your impact will be measured not just by delivery, but by the strength of the team, the quality of execution, and the adoption of AI capabilities that solve real customer problems. 
What you bring 
<ul><li>
You bring a strong software engineering foundation with the ability to lead teams building scalable products, services, platforms, and AI-enabled applications</li><li>
You have a working understanding of machine learning and generative AI concepts, including model lifecycle, LLM use cases, evaluation, deployment constraints, and production risks</li><li>
You are experienced in leading delivery of AI or data-intensive programs, aligning product scope, technical dependencies, staffing plans, and execution milestones</li><li>
You bring strong project and program management skills, including roadmap planning, estimation, sprint execution, release coordination, risk management, and dependency tracking</li><li>
You have experience managing engineers across diverse skill sets, including backend, frontend, data engineering, machine learning, and platform engineering</li><li>
You are skilled at establishing delivery metrics, engineering KPIs, and operational cadences that improve execution predictability and quality</li><li>
You have a strong understanding of agile methodologies, backlog management, prioritization, stakeholder communication, and escalation handling</li><li>
You bring practical knowledge of cloud platforms, DevOps, CI/CD, observability, security, and the operational needs of production AI systems</li><li>
You are able to evaluate technical trade-offs, including build vs. buy, delivery speed vs. technical debt, and experimentation vs. reliability</li><li>
You demonstrate strong people leadership skills, including hiring, coaching, performance management, and building high-performing teams</li><li>
You are confident working with senior stakeholders to translate business goals into execution plans, budgets, staffing decisions, and measurable outcomes</li><li>
You apply sound judgment around responsible AI, data governance, compliance, and quality standards in enterprise environments</li></ul><ul><li>
You bring 8-10(+) years of experience in software engineering, architecture, or a related field, with a strong track record of designing and delivering complex systems</li><li>
You are a strong people leader who is passionate about developing talent and building inclusive, high-performing teams</li><li>
You are proactive, organized, and outcomes-driven, with a strong sense of ownership and accountability</li><li>
You are a collaborative leader who builds strong partnerships across product, architecture, and business teams</li><li>
You have a commitment to responsible AI principles, including ethics, transparency, and governance</li><li>
Fluent professional English (written and spoken) is required; Arabic is a plus</li></ul> 
Where you belong 
You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. 
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. 
We work across boundaries, help teams make better design choices, and build foundations that let AI products scale safely and efficiently. We value clarity, system thinking, and practical innovation.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
We are ethical and compliant 
Our leadership credo: Do what&rsquo;s right. Make SAP better for generations to come. We believe that great leadership extends far beyond the mere pursuit of business goals. We value and foster leadership that is driven with purpose and integrity. Our leaders are role models who uphold SAP&rsquo;s values and shape SAP&rsquo;s culture of integrity, by demonstrating and championing ethical and compliant behavior towards all stakeholders.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450217 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Management | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

(Senior) Development Manager AI Products & Solutions KSA-Region

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div> 
What you'll build 
In this role, you'll lead an engineering team building AI-enabled products and platforms while driving strong execution, delivery predictability, and team growth. You'll own planning and delivery across the full development lifecycle: roadmap translation, scope management, staffing, prioritization, sprint execution, release planning, risk management, dependency handling, and stakeholder communication. On the technology side, you'll guide teams building scalable services, data pipelines, ML-enabled applications, and LLM-based features, ensuring sound engineering around architecture, quality, observability, security, and operational readiness. You&rsquo;ll help the team make good decisions about model integration, experimentation, evaluation, deployment, monitoring, and governance, while balancing innovation with business value, cost, and time to market. Your impact will be measured not just by delivery, but by the strength of the team, the quality of execution, and the adoption of AI capabilities that solve real customer problems. 
What you bring 
<ul><li>
You bring a strong software engineering foundation with the ability to lead teams building scalable products, services, platforms, and AI-enabled applications</li><li>
You have a working understanding of machine learning and generative AI concepts, including model lifecycle, LLM use cases, evaluation, deployment constraints, and production risks</li><li>
You are experienced in leading delivery of AI or data-intensive programs, aligning product scope, technical dependencies, staffing plans, and execution milestones</li><li>
You bring strong project and program management skills, including roadmap planning, estimation, sprint execution, release coordination, risk management, and dependency tracking</li><li>
You have experience managing engineers across diverse skill sets, including backend, frontend, data engineering, machine learning, and platform engineering</li><li>
You are skilled at establishing delivery metrics, engineering KPIs, and operational cadences that improve execution predictability and quality</li><li>
You have a strong understanding of Agile methodologies, backlog management, prioritization, stakeholder communication, and escalation handling</li><li>
You bring practical knowledge of cloud platforms, DevOps, CI/CD, observability, security, and the operational needs of production AI systems</li><li>
You are able to evaluate technical trade-offs, including build vs. buy, delivery speed vs. technical debt, and experimentation vs. reliability</li><li>
You demonstrate strong people leadership skills, including hiring, coaching, performance management, and building high-performing teams</li><li>
You are confident working with senior stakeholders to translate business goals into execution plans, budgets, staffing decisions, and measurable outcomes</li><li>
You apply sound judgment around responsible AI, data governance, compliance, and quality standards in enterprise environments</li></ul><ul><li>
You bring 8-10(+) years of experience in software engineering, architecture, or a related field, with a strong track record of designing and delivering complex systems</li><li>
You are a strong people leader who is passionate about developing talent and building inclusive, high-performing teams</li><li>
You are proactive, organized, and outcomes-driven, with a strong sense of ownership and accountability</li><li>
You are a collaborative leader who builds strong partnerships across product, architecture, and business teams</li><li>
You have a commitment to responsible AI principles, including ethics, transparency, and governance</li><li>
Fluent professional English (written and spoken) is required; Arabic is a plus</li></ul> 
Where you belong 
You will be part of a growing AI and industry expert team dedicated to serving customers across the United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. 
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. 
We work across boundaries, help teams make better design choices, and build foundations that let AI products scale safely and efficiently. We value clarity, system thinking, and practical innovation.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
We are ethical and compliant 
Our leadership credo: Do what&rsquo;s right. Make SAP better for generations to come. We believe that great leadership extends far beyond the mere pursuit of business goals. We value and foster leadership that is driven with purpose and integrity. Our leaders are role models who uphold SAP&rsquo;s values and shape SAP&rsquo;s culture of integrity, by demonstrating and championing ethical and compliant behavior towards all stakeholders.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450222 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Management | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

(Senior) Development Manager AI Products & Solutions UAE-Region

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