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As SVP of Data & Infrastructure, you will report into our CTO, Lalith Vadlamannati. Your role will require you to demonstrate strong technical leadership skills and drive high business impact across multiple projects with increasing complexity and ambiguity. Leading by example, you will develop a world-class remote engineering team based in the United States. You will be responsible for overseeing an organization of 80-100 engineers, who will be working on various aspects of data infrastructure such as ingestion, organization, prediction, measurement, and data exchanges.
Our culture thrives on solving complex problems, focusing on product engineering based on hypothesis testing to empower people to develop ideas. Service, Inclusion, Accountability, Curiosity, and Evidence are values that guide us daily as we work with a team of experts to improve health outcomes and reduce the cost of the American healthcare system.
Being part of a fast-moving culture, you will carry the following responsibilities:
- Impact: Balance short and long-term business impact by developing a decisive yet principled build-buy-partner strategy.
- People: Develop outstanding teams using a combination of world-class-hiring and direct-timely-actionable feedback to develop engineering talent
- Execution: Set aggressive yet clear goals and remove all roadblocks for the team to achieve them.
- Collaboration: Develop strong relationships and work cross-functionally with many partners across organizations and functions, and as a result, increase the impact of the team’s work
- Company: Work closely with company-wide engineering leaders to drive engineering excellence in our processes and systems.
Requirements
- BS (or higher) in Computer Science or a related field.
- 8+ years of building and leading highly complex, technical engineering teams
- 10+ years of production-level experience as an engineer building highly scalable and reliable software.
- Developing and delivering a multi-year vision and strategy with incremental quarterly deliverables with cross-functional efforts that span multiple teams
- Demonstrated proficiency in attracting, hiring, and coaching world-class engineers and managers.
- Demonstrated experience in taking ownership of technology decisions while delegating and empowering team members.
- Excellent teamwork, communication, and project management skills.
- Align with product and organization objectives, and coordinate with cross-regional teams on delivering key results.
- Experience managing an ML, Gen AI, SaaS, or data-focused platform.
- Proficiency in communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.
Nice to have:
- Working knowledge of health-tech systems, like Electronic Health Records, Clinical data, etc.
- AI Research: Experience in designing machine learning algorithms, model training, evaluation, and benchmarking with examples of well-conceived and well-executed long-term machine learning bets.
Aledade Austin, Texas, USA Office
Austin, Texas, United States
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
