Software Development Manager, Data Engineering. Generative AI

Responsibilities

1. Work with your team to help understand requirements, evaluate new features, and help build technology roadmaps.
2. Build a new team by recruiting talent from diverse backgrounds and perspectives.
3. Build partnerships with technical leads and important individuals within other functional organizations, to implement compelling solutions.
4. Build an inclusive culture, mentor team members, and provide your team with the tools to reach their goals.
5. Foster a culture of innovation, continuous improvement, and excellence in software development.
6. Address organizational and process challenges, applying technical expertise to bridge gaps, streamline operations, and facilitate smooth execution of partnership initiatives.
7. Keep up-to-date with the latest AI and Data Engineering trends and apply this expertise to improve team performance and product quality.
8. Create tactical execution plans and ensure adherence to budgets, schedules, and performance expectations.
9. Implement the strategy following principles of Agile methodology.

Minimum Qualifications

1. BS or MS in Computer Science or related technical field.
2. 10+ years of software development experience.
3. 5+ years of experience as a manager.
4. Experience managing and resolving complex and ambiguous issues.
5. Experience developing scalable and resilient data ingestion and processing pipelines, monitoring and self-healing systems.
6. Experience delivering production applications with Amazon Web Services.
7. Experience working with Data Lake or Warehouses, ETLs.
8. Experience with modern software practices including Continuous Integration, Continuous Delivery, and Infrastructure-as-Code.
9. Experience with Scrum and Agile development processes and methodologies.

Other Qualifications

1. Familiarity with AWS IAM to develop secure solutions, specifically with resource access policies and IAM roles.
2. Familiarity with AWS infrastructure as code solutions, such as CDK or Cloud Formation.
3. Experience in the AEC industry, Autodesk products such as Revit, and AEC data schemas and standards.
4. Experience with cloud-native capabilities, including data at scale, edge computing, and AI-based solutions.

Ideal Candidate

1. You understand what it takes to develop and deliver scalable and performant data pipelines.
2. You can recruit and identify top talent.
3. You have a passion for being a mentor and a teacher.
4. You have experience in DevOps, continuous integration, and continuous delivery.
5. You know how to motivate your team to achieve their goals.
6. You are curious and passionate about solving complex problems in new domains.
7. You easily communicate progress and build trust with a diverse set of partners.

Join us in transforming the AEC industry and shaping the future of design and construction. Make an impact and help build a new team from the ground up.

Salary Transparency

Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $145,800 and $235,950. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging

We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: Diversity & Belonging .