Website HEADSPACE

About the VP of Engineering, Machine Learning and Data Platform at Headspace:
Headspace exists to improve the health and happiness of the world, and we’re accelerating our capabilities to deliver on that mission. To do so, we’re looking to hire a VP of Engineering who will identify long-term strategies and build scalable, efficient, and privacy-focused data and machine learning platforms.
This individual will be in the driver’s seat of defining our Machine Learning and Data Platform strategy and vision so that we can enable the entire company to bring personalized mental health and wellness to all of our members. In addition, we want to leverage machine learning and data-powered decisions to boost our different segments of the business. This person will partner closely with engineering, product, and other cross-functional teams to identify opportunities, create roadmaps, define milestones & success metrics, all while driving execution to deliver meaningful impact. They will set up the team structure, workflows and standardization, and best practices to drive productivity. This person is accountable for managing successful teams at scale and knows how to motivate those around them and create strong and lasting relationships throughout an organization. Having experience as a senior leader, shipping game-changing, durable products & platforms that consumers love. You must be a hypothesis-driven, big thinker who knows how to execute with velocity against aggressive goals.
Location: This role is open to remote employees in select US states: California, New York, Florida, Georgia, Texas, Maryland + Washington DC, North Carolina and Washington. 

How your skills and passion will come to life at Headspace:

    • Pioneer the Data and ML infrastructure at Headspace to enable a 1-1 experience with each member to lower their stress, increase their resilience and improve their happiness
    • Build out modern Data Platform areas by setting the vision, strategy, identifying team roadmaps, and driving execution to deliver measurable results
    • Be a key thought partner and lead our innovation on ML models that improve health outcomes for tens of millions of members
    • Grow, Manage and Lead development teams in Data and Machine Learning
    • Collaborate with the Data Analytics team to ensure that the data platform delivers for the Analytics to deliver business metrics
    • Expanding and enrich 3rd party data exchanges
    • Help turbocharge a rigorous data culture using quantitative and qualitative measures that tie to company objectives with focus and plan around data governance – privacy and security

What you’ve accomplished:

    • 15+ years of experience in Engineering Leadership with a focus on building infrastructure to train and deploy ML models at-scale with a robust, extensible Modern Data Platform
    • 7+ years of experience managing multiple teams
    • 4+ years of experience in architecting, designing, developing, and maintaining AWS/GCP cloud-based Data and ML systems leveraging the best technologies based on emerging best solutions available from mature and early-stage companies
    • Ability to understand and translate customer, partner, and business requirements to technology solutions and having experience in subscription, content/media industry
    • Demonstrated change agent with a passion to positively dramatically impact business
    • Experience in Data privacy, security, and governance
    • Proven track record of leading cross-team (within and outside Headspace)  initiatives and driving initiatives end-to-end from inception to production, creating engaging and high-quality experiences
    • Demonstrated critical thinking, and thought leadership with strong problem solving and communication skills and ability to influence across internal organizations
    • Strong experience leading design and implementation of robust and highly scalable services
    • Excellent written, communication, analytical skills, and attention to detail, with an ability to effectively present to executive staff and key stakeholders
    • Ability to deconstruct industry and competitor trends to inform roadmaps
    • MS or higher in Computer Science or a related field
How we feel about Diversity & Inclusion:
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. Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process.
How to get started:
If you’re excited by the idea of seeing yourself in this role at Headspace, please apply with your CV and a cover letter that best expresses your interest and unique qualifications

To apply for this job please visit jobs.lever.co.

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