Staff Data Platform Engineer, BetterUp
$194.4-270k
Salary is dependent on location
More information about location
AI-driven employee coaching platform
Be an early applicant
AI-driven employee coaching platform
1001+ employees
Be an early applicant
$194.4-270k
Salary is dependent on location
More information about location
1001+ employees
Company mission
To unlock greater clarity, potential, purpose, and passion for every one of their members, with an innovative approach to coaching and leadership development.
Role
Who you are
- If the idea of having real impact from your work, of giving people the platform to unlock true personal growth and transformation deeply resonates with you, and if you have a core belief that a strong data foundation is fundamental to building great products, come talk to us!
- 7+ years of experience in data platform engineering, data infrastructure, or related technical roles
- Strong programming background (e.g. Python)
- Operational maturity (e.g. CI/CD systems, Infrastructure as Code, Kubernetes, monitoring, distributed systems, security and privacy best practices, etc.)
- Experience in building and maintaining analytics stacks (e.g. Snowflake, dbt, Looker)
- Running GenAI / ML systems in production (e.g. MLOps tooling, vector search, embedding stores, feature engineering at scale, etc.)
- Architecting data systems (e.g. Airflow, Kafka, general system design)
- We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply
What the job involves
- As a Staff Data Platform Engineer at BetterUp, you will have the opportunity to leverage your expertise, passion, and drive to craft robust, scalable data systems which will directly impact the lives and well being of thousands of workers across the world
- BetterUp is the global leader in virtual professional coaching, combining world-class coaching with AI technology and behavioral science to deliver personalized behavior change at scale
- Our mission is to help people everywhere live with greater clarity, purpose, and passion and since our founding in 2013, we have pioneered transformation and peak performance for individuals and organizations
- You will be joining a small team responsible for architecting, building, and maintaining the scalable, enterprise-grade data systems that power our data products and capabilities
- You’ll straddle the worlds of DataOps, MLOps, and Infrastructure, enabling both the next generation of analytics functionality and an AI Platform to fuel our AI-driven product innovation
- You will work with stakeholders across the business, understanding their data problems and ultimately unlocking data enablement through centralized standardization of tooling and processes, all with enterprise-grade best practices in mind for security, privacy, and governance
- You will deliver high-quality, systems-oriented technical solutions which are both fit for today and ready for tomorrow
- Architect, build, and maintain data systems that are delivering on end customer value
- Centralize and standardize data collection, data transformation and analysis, data storage, and data serving approaches and processes
- Support our ML / GenAI teams and functionality with platform capabilities for data delivery, processing, and infrastructure
- Support our reporting and analytics teams in delivering both internal and customer-facing business insights
- Stay current with emerging technologies and trends in a fast-evolving tech nology ecosystem
- Operationally managing our data infrastructure, vendors, tooling, and processes
- Set technical direction for how the data platform evolves to support AI-driven product capabilities over a 1–2 year horizon
- Establish standards and best practices for data infrastructure, tooling, and AI-augmented workflows that other engineering teams adopt
- Mentor and influence engineers across the organization on data systems architecture and AI-augmented engineering practices
- Evaluate emerging AI and data tooling, and drive adoption of the highest-impact ones across the platform
Our take
Companies are becoming increasingly informed regarding the importance of mental health in the workplace, especially in improving the interpersonal and leadership skills of their employees. Whilst many online platforms provide coaching services to help people excel in the workplace, existing options generally focus on career-based skills as opposed to overall mental wellness.
BetterUp connects employees with online career coaches, working directly with companies to improve mental health and enthusiasm in the workplace. The online service leverages AI analysis of questionnaire results to match employees with personalised video coaching sessions and career development services, providing support in areas often neglected by employers, such as sleep, parenting, and overall mental fitness.
BetterUp has seen substantial success and has the world's largest network of coaches (with over 3,000), offering coaching in 46 languages across 90 countries. It's also offering AI coaching to keep pace with digital demand for contextual, tailored insights. The multi-unicorn company has ample opportunity for further growth and expansion.
Steph
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Oct 2021
$300m
SERIES E
Feb 2021
$125m
SERIES D
Total funding: $579m
Company benefits
- Medical, dental, and vision benefits
- 401k
- Flexible Time Off
- Paid parental leave
- Personalized BetterUp Coach
- $360 each year for wellness programs
- Annual $1K learning and development stipend
- Equity package
- 5 volunteer days and 4 paid Inner Work™ days a year
Company HQ
Govalle, Austin, TX
Leadership
Alexi Robichaux
(Co-Founder & CEO)Studied Political Science at USC, and then worked in Business Insight at the Walt Disney Company. Was a Product Manager at Socialcast, and Director of Product Management at VMware.
Eduardo Medina
(Co-Founder & COO)Studied Business at USC and Berkeley's Haas School of Business. Worked as an Associate Consultant at Bain, and as an Associate at Altamont Capital Partners.
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