Principal Product Manager, Machine Learning & Data
3 weeks ago
Remote (Selected US States)
Selected US States
About the Principal Product Manager, Machine Learning and Data 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 Principal Product Manager who will identify long-term strategies and build scalable, efficient, and privacy-focused data and machine learning products and platforms.
Reporting to the Sr. Director of Product, this individual will be in the driver’s seat of defining our Machine Learning and Data product vision so that we can enable the entire company to bring personalized mental health and wellness to all of our members. This person will partner closely with engineering, product and other cross-functional teams to identify opportunities, create roadmaps, define milestones and success metrics, and drive execution to deliver meaningful impact.
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 ML infrastructure at Headspace to enable a 1-1 experience with each member to lower their stress, increase their resilience and improve their happiness
Be a key thought partner and lead our innovation on ML models that improve health outcomes for tens of millions of members
Lead two of our development teams (Machine Learning and Data Platform) by setting the product vision, identifying team roadmaps, and driving execution to deliver measurable results
Identify opportunities with our feature and growth teams to bring personalization to life across all of our consumer experiences
Help turbocharge a rigorous data culture using quantitative and qualitative measures that tie to company objectives
Oversee multiple projects and align them with business priorities
What you’ve accomplished:
7+ years of experience in Technical Product Management with a focus on building infrastructure to train and deploy ML models at-scale
Experience delivering technology products from inception to delivery
Knowledge of user needs, gathering requirements, and defining scope
Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership
Excellent written, communication, analytical skills, and attention to detail, with an ability to effectively present to executive staff and key stakeholders
Previous experience in working with and coordinating large-scale projects across teams
Strong passion for creating engaging and high-quality experiences
Ability to deconstruct industry and competitor trends to inform roadmaps
B.S. in Computer Science or a related technical discipline, or equivalent experience
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.
Before you apply, please check if any restrictions apply in terms of time zone or country.
This job has a geo-restriction in place: Selected US States.