Senior Technical Program Manager, DataRobot
Value-Driven AI for business
Open for applications
Value-Driven AI for business
501-1000 employees
Open for applications
501-1000 employees
Company mission
To change the way businesses all over the world make their most important decisions.
Role
Who you are
- We are looking for someone who has led teams that build distributed systems—that is, a thorough understanding of the architectural decisions, trade-offs, and operational challenges they will face
- If you have proven technical program management leadership, cross-functional influence, and are energized by building the operational processes that let high-performing teams move faster, get in touch
- 5+ years of strategic Technical Program Management, Product Operations, or Technical Delivery experience in a complex SaaS environment
- Proven track record of managing complex programs in a matrix-style organization, building cross-functional relationships and navigating competing priorities from stakeholders in Engineering and Product environments
- Jira expertise, both in administration and as a consumer, including deep Jira automation understanding that results in the ability to drive operational process efficiency with automation, simplification, and documentation
- Demonstrated ability to deliver results on time and in budget while meeting the customer expectations in fast-paced, dynamic environments with evolving priorities, ambiguity, and technical complexity without adding unnecessary process
- Exceptional oral, written, and documentation skills with the ability to influence and align diverse teams without formal authority
- Startup mentality—resourceful, scrappy, comfortable with uncertainty
- Proficiency in data analysis and building dashboards to monitor program health and conversion metrics
- Even if you do not check every box, we’d love to have a conversation with you and see if you might be a great fit
What the job involves
- The Senior Technical Program Manager works closely with Product, Engineering, GTM, and Support to bring structure and velocity to complex AI product development, ensuring work moves smoothly from strategy to build to launch
- You'll design and evolve the cross-functional programs that enable us to ship agentic and predictive capabilities with speed and rigor. Improve how we plan, execute, and deliver cross-functional initiatives
- Be prepared to experiment and iterate on programs with a small TPM team and drive R&D execution on high-impact programs
- Improve and scale how we plan, execute, and deliver cross-functional initiatives across Product, Engineering, and feature delivery stakeholders. Specifically:
- Own end-to-end delivery of strategic programs spanning R&D—ensuring alignment from concept through feature delivery, and iteration, with clear ownership and accountability for all deliverables
- Proactively identify and resolve cross-functional blockers to accelerate delivery, stepping in to facilitate resolution where ownership gaps exist and creating visibility into issues before they derail timelines
- Drive predictability and velocity by partnering with Product and Engineering leaders to improve estimation practices, clarify ownership boundaries, scale escalation paths, and establish metrics to track program health and team effectiveness
- Build lightweight coordination mechanisms for multi-team initiatives: dependency tracking, decision frameworks, communication rhythms, and real-time visibility through Jira and engineering dashboards that keep teams aligned without creating bureaucracy
- Design and scale repeatable programs and processes across R&D, transitioning matured programs to appropriate functional owners to ensure TPM leverage and organizational scalability
- Experiment and iterate on program approaches in a lean environment—introduce new ideas, test what works, codify lessons learned, and continuously refine how we operate while fostering a culture of iterative improvement
Our take
DataRobot is an enterprise AI platform that helps business analysts develop predictive analytics without requiring any knowledge of programming or machine learning. The platform uses machine learning to build and distribute accurate predictive models quickly by automating users' end-to-end journeys.
Unlike its competitors, such as Domino Data Lab, Captricity, and Datameer, DataRobot's primary selling point is its extensibility. Depending on the job function or comfort level users opt for, they have the option to take complete control of their workflow. Business analysts are free to use the platform as a wizard, but more experienced data scientists have the opportunity to alter many parameters in order to develop precise models.
DataRobot's customers have developed over 500 million models on the DataRobot Cloud on AWS after it earned Amazon Web Services (AWS) ML Competency status. By selling its AI toolkits to more than a third of the Fortune 50, including Kroger, Nationwide, and Lenovo, the company has continued to go from strength to strength and has been recognised as a leader in the space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-35% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Jun 2021
$300m
SERIES G
Dec 2020
$50m
SERIES F
Total funding: $1.1bn
Company benefits
- Medical, Dental & Vision Insurance
- Flexible Time Off Program
- Paid Holidays
- Paid Parental Leave
- Global Employee Assistance Program (EAP)
- Work from Home Opportunities
- A World-class Team
- Company Outings
- Open Door Policy
Company HQ
Financial District, Boston, MA
Leadership
Debanjan Saha
(CEO)Previously the VP of Data Analytics at Google and VP of managed database services at Amazon.
Salary benchmarks
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