About the
VP of Engineering, Data and AI
at Headspace:
We are seeking an experienced and visionary VP of Engineering to lead our data and AI organization. This role is crucial in driving our data strategy, overseeing the development and implementation of data systems, and ensuring the successful deployment of Generative AI and Machine Learning products and solutions across the organization and our member base. The VP of Engineering, Data and AI will lead an organization whose mission is to deliver highly performant and scalable products and platforms which enables a data driven culture across the enterprise, while also aiming to drive industry best practices in the data and AI organization.
This leader must have the ability to attract and recruit great talent, grow the team, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology.As part of the Technology team, you’ll be working on a product that profoundly impacts millions of users. You will help us bring new features to life to meet our mission, while also helping push our platform to newer technologies as we embrace the cutting edge. A big goal needs talented people, so come join us and give your day job a sense of purpose!
What you will do:
Data Engineering:- Oversee the design, development, and maintenance of scalable data pipelines and infrastructure.
- Ensure data quality, integrity, and security across all data systems.
- Establish and enforce best practices for data governance, compliance, quality, and security across the organization.
AI and Machine Learning:
- Drive the research, development, and deployment of AI and machine learning models to solve complex business problems
- Ensure the successful integration of AI solutions into existing business processes and systems.
- Stay abreast of the latest advancements in AI and machine learning, and evaluate their potential impact on the organization.
Data Analytics:
- Develop and implement the strategic vision for data analytics across the organization, ensuring alignment with business goals.
- Serve as the organization’s subject matter expert on advanced statistical analysis, experimental design, and financial impact analysis.
- Guide the development and implementation of robust analytical methodologies and processes across the organization.
What you will bring:
Required Skills:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. PhD is a plus.
- 15+ years of experience in data engineering, data science, and AI, with at least 5 years in a leadership role.
- Proven track record of successfully leading data engineering and AI teams.
- Familiarity with AI research and development tools and platforms.
- Strong analytical and problem-solving skills.
- Extensive experience with machine learning frameworks, generative AI technologies, and big data platforms.
- Strong understanding of data architecture, data governance, and data security best practices.
- Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud).
- Knowledge of programming languages such as Python, R, Java, and SQL.
- Experience in big data technologies (Redshift, S3, Databricks, Datalakes, Spark)
- Working experience in one of these tools Looker/Tableau/Amplitude/CoreMetrics
- Excellent leadership, communication, and interpersonal skills.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
Pay & Benefits:The base salary range for this role is determined by a number of factors, including but not limited to skills and scope required, relevant licensure and certifications, and unique relevant experience and job-related skills. The base salary range for this role is $164,880 - $300,000.At Headspace, cash salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, unlimited, free mental health coaching, generous parental leave, and much more.
Paid performance incentives are also included for those in eligible roles. Additional details about our Total Rewards package will be provided during the recruitment process.
How we feel about Diversity, Equity, Inclusion and Belonging:
Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. *Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace.
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Headspace participates in the E-Verify Program.
Privacy Statement
All member records are protected according to ourPrivacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship. As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position.
If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment. Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice
