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The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. 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You won’t just be wrapping APIs; you will be engineering the entire lifecycle of agentic applications.</p>\n<p>As a Staff Software Engineer within Enterprise AI, you are the technical heartbeat of our products.</p>\n<p>Your role is to bridge the gap between bleeding-edge AI research and robust, full-stack production systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance.</li>\n<li>Drive the development of sophisticated, stateful web applications.</li>\n<li>Serve as developer leader in distributed systems, data technologies, with strong software engineering skills.</li>\n<li>Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.</li>\n<li>Mentor and elevate a team of high-performing engineers.</li>\n<li>Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.</li>\n<li>Continuously adapt to the evolving JavaScript ecosystem to maximize engineering efficiency.</li>\n<li>Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Engineering, or a related field.</li>\n<li>8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role.</li>\n<li>Experience with full-stack development building web apps, using modern programming languages such as JavaScript, Typescript or React.</li>\n<li>Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.</li>\n<li>Strong understanding of data modeling, data warehousing, and ETL processes, with experience designing and optimizing data pipelines.</li>\n<li>Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.</li>\n<li>Strong leadership skills, with a track record of mentoring and developing high-performing engineering teams.</li>\n<li>Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.</li>\n</ul>\n<p>Desired:</p>\n<ul>\n<li>Experience developing production-quality LLM applications and using modern agent frameworks such as Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, and/or others is a plus.</li>\n<li>Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure).</li>\n</ul>\n<p>What We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows:</p>\n<ul>\n<li>$160,320 - $200,400</li>\n<li>Target Bonus Percentage 15% (When Applicable)</li>\n</ul>\n<p>The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.</p>\n<p>Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That&#39;s why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. 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In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>The Sora team is working on making video a key capability of OpenAI’s foundation models. 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We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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